what is research paper in english grammar

ENGL 101: Academic Writing: How to write a research paper

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How to write a research paer

Understand the topic, what is the instructor asking for, who is the intended audience, choosing a topic.

• General Research

Books on the subject

Journal articles, other sources, write the paper.

You've just been assigned by your instructor to write a paper on a topic. Relax, this isn't going to be as bad as it seems. You just need to get started. Here are some suggestions to make the process as painless as possible. Remember, if you have any questions ASK .

Is the assignment a formal research paper where you have to do research and cite other sources of information, or is the assignment asking you for your reaction to a particular topic where all you will need to do is collect your thoughts and organize them coherently. If you do need to research your topic, make sure you know what style manual your instructor prefers (MLA, APA, Chicago, etc).

Make sure you keep track of any restrictions that your instructor places on you. If your instructor wants a 4 page paper, they won't be happy with a 2 page paper, or a 10 page paper. Keep in mind that the instructor knows roughly how long it should take to cover the topic. If your paper is too short, you probably aren't looking at enough materials. If you paper is too long, you need to narrow your topic. Also, many times the instructor may restrict you to certain types of resources (books written after 1946, scholarly journals, no web sites). You don't want to automatically lessen your grade by not following the rules. Remember the key rule, if you have any questions ask your instructor!

You will also need to know which audience that you are writing for. Are you writing to an audience that knows nothing about your topic? If so you will need to write in such a way that you paper makes sense, and can be understood by these people. If your paper is geared to peers who have a similar background of information you won't need to include that type of information. If your paper is for experts in the field, you won't need to include background information.

If you're lucky, you were given a narrow topic by your instructor. You may not be interested in your topic, but you can be reasonably sure that the topic isn't too broad. Most of you aren't going to be that lucky. Your instructor gave you a broad topic, or no topic at all and you are going to have to choose the specific topic for your paper.

There are some general rules that you can use to help choose and narrow a topic. Does a particular topic interest you? If you are excited by a particular field, choose a topic from that field. While doing research you will learn more about the field, and learn which journals are written for your topic. Are you answering a relevant question? You and your instructor are going to be bored if you are writing a paper on the hazards of drunken driving. However, it might be more interesting to write about what causes people to drink and drive. The more interesting your topic the more you will enjoy and learn from writing your paper. You may also want to focus on a specific point of view about the topic, such as what teenagers think the causes of drunken driving are.

Do General Research

Now that you have a topic, it is time to start doing research. Don't jump to the card catalog and the indexes yet. The first research that you want to do is some general research on your topic. Find out what some of the terms used in the field are. You will also find that this research can help you further define you topic.

One source of general research is a general encyclopedia. Depending on the encyclopedia, at the end of each entry there may be a bibliography of suggested works. Good encyclopedias to consult are Encyclopedia Britannica , Encyclopedia Americana, and World Book.

You will also want to check to see if your topic is in a field that has a subject Encyclopedia, a Subject Handbook, or a Subject Dictionary. These guides contain information about a wide variety of topics inside a specific field. Generally the information in more detailed that what is contained in a general encyclopedia. Also the bibliographies are more extensive.

Find further information

Now that we have some background information on our topic; we need to find information about our specific topic. Before searching, ask yourself what type of information you are looking for. If you want to find statistical information, you will need to look in certain types of sources. If you are looking for news accounts of an event, you will need to look in other types of sources. Remember, if you have a question about what type of source to use, ask a librarian.

Have you asked your instructor for suggestions on where to look? Why not? This person is experienced in the field, and they have been doing research in it longer than you have. They can recommend authors who write on your topic, and they can recommend a short list of journals that may contain information on your topic.

Books are one type of resource that you can use for your research. To find a book on your topic, you will need to use the online catalog, the CamelCat . Taking the list of keywords that you created while doing general research, do keyword searches in the catalog. Look at the titles that are being returned, do any look promising? If none do, revise your search using other keywords. If one does, look at the full record for that book. Check the subject headings that it is cataloged by. If one of those headings looks pertinent to your research, do a subject search using that particular heading.

Once you've got the books that you want to use start evaluating whether the book will be useful. Is it written by an author who is knowledgeable about that particular topic? Is the author qualified to write about the topic? What biases does the author have about the topic? Is the book current enough to contain useful information?

Once you've answered these questions, use the books that you deem useful for your research. Remember while taking notes to get the information that you need to do a proper citation. Also, pay attention to any bibliographies that are included in the book. These can help you locate other books and articles that may be useful for your research.

The Campbell University Libraries subscribe to a wide variety of Indexes and Journals for the use of students and faculty. Increasingly these materials are provided as Electronic Databases. These databases contain citations of articles and in some cases the full text of articles on a variety of topics. If you don't know which database will be useful for you, ask a librarian and they will be happy to assist you. You can also use the Find Articles link to search multiple databases at one time for information on your topic.

Once you've selected a database to use, use the keywords that you developed from your general research to find articles that will be useful for you. Once you've found one, see which terms the database used to catalog the article and use those terms to find more articles. Don't forget to set limits on the database so that only scholarly articles are returned if your instructor has made that a requirement for your paper.

Look at the journal articles that you have selected, and examine the bibliographies. Are there any authors that are mentioned in more than one article? Are there any articles that are mentioned more than once? You should find those authors and articles and include them in your research.

There are other useful sources that you can use in your research. If your report tends to be on a business topic or if you need company information for your research there are many companies that provide company reports. The contents of these reports differ, depending on which service that you are using. Generally speaking you will find company officers, financial statements, lists of competitors, and stock price.

The Internet is another source for information on a variety of topics. The major problem with the using Internet resources is authority. Anybody who knows HTML can produce a web site that looks pretty decent. However, a website produced by a sophomore in high school on a topic is not going to be useful to you in your research. Before using a website for information, you need to evaluate the site. Here are some questions you will want to ask: Who created the site? (If you can't tell, don't use it.) Has the site been recently updated? Is the site promoting a specific agenda/ does it have a bias? (Bias isn't necessarily bad, but you need to keep it in mind when interpreting the information presented?) Are there any misspellings on the site? (If there is one misspelling careless error more than three, don't use the page) Do the links on the page work? (If a few don't work, not a big problem, if most of the links don't work, the site isn't being maintained, and should not be used.)

You have all of your research, now it is time to write the paper. Don't forget to cite all of the research that you have collected using the preferred citation style of your instructor. If possible try to give yourself a couple of days to let the paper sit before you edit it. Look at a hard copy of the paper and check for mechanical errors (spelling, punctuation). Also try to imagine that you are the intended audience for the paper. Does your paper make sense? Are the arguments logical? Does the evidence presented support the arguments made? If you answered no to any of these questions, make the necessary changes to your paper.

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English for Writing Research Papers

• Adrian Wallwork 0

English for Academics, Pisa, Italy

You can also search for this author in PubMed   Google Scholar

• At least two-thirds of published scientific papers are written by researchers whose first language is not English
• 20% of the comments referees make when reviewing papers for possible publication in international journals regard English language issues
• In some disciplines, acceptance rate by journals of papers originating from the US/UK is 30.4%, and is higher than all other countries
• Includes supplementary material: sn.pub/extras

Part of the book series: English for Academic Research (EAR)

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Table of contents (20 chapters)

Front matter, writing skills, planning and preparation.

Adrian Wallwork

Structuring a Sentence: Word Order

Structuring paragraphs, breaking up long sentences, being concise and removing redundancy, avoiding ambiguity, repetition, and vague language, clarifying who did what, highlighting your findings, discussing your limitations, hedging and criticising, plagiarism and paraphrasing, sections of a paper, introduction, review of the literature.

• prepare and structure a manuscript
• increase readability and reduce the number of mistakes you make in English by writing concisely, with no redundancy and no ambiguity
• write a title and an abstract that will attract attention and be read
• decide what to include in the various parts of the paper (Introduction, Methodology, Discussion etc)
• highlight your claims and contribution
• avoid plagiarism
• discuss the limitations of your research
• choose the correct tenses and style
• satisfy the requirements of editors and reviewers
• Research papers
• preparing and structuring a manuscript
• readability
• avoiding mistakes
• redundancy and ambiguity
• introductions
• review of the literature
• highlighting results

Book Title : English for Writing Research Papers

Authors : Adrian Wallwork

Series Title : English for Academic Research

DOI : https://doi.org/10.1007/978-3-319-26094-5

Publisher : Springer Cham

eBook Packages : Social Sciences , Social Sciences (R0)

Copyright Information : Springer International Publishing Switzerland 2016

eBook ISBN : 978-3-319-26094-5 Published: 02 March 2016

Series ISSN : 2625-3445

Series E-ISSN : 2625-3453

Edition Number : 2

Number of Pages : XX, 377

Topics : English , Language Education , Popular Science in Linguistics , Grammar

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• Track your research

What Is a Research Paper?

• An Introduction to Punctuation

Olivia Valdes was the Associate Editorial Director for ThoughtCo. She worked with Dotdash Meredith from 2017 to 2021.

• B.A., American Studies, Yale University

A research paper is a common form of academic writing . Research papers require students and academics to locate information about a topic (that is, to conduct research ), take a stand on that topic, and provide support (or evidence) for that position in an organized report.

The term research paper may also refer to a scholarly article that contains the results of original research or an evaluation of research conducted by others. Most scholarly articles must undergo a process of peer review before they can be accepted for publication in an academic journal.

Define Your Research Question

The first step in writing a research paper is defining your research question . Has your instructor assigned a specific topic? If so, great—you've got this step covered. If not, review the guidelines of the assignment. Your instructor has likely provided several general subjects for your consideration. Your research paper should focus on a specific angle on one of these subjects. Spend some time mulling over your options before deciding which one you'd like to explore more deeply.

Try to choose a research question that interests you. The research process is time-consuming, and you'll be significantly more motivated if you have a genuine desire to learn more about the topic. You should also consider whether you have access to all of the resources necessary to conduct thorough research on your topic, such as primary and secondary sources .

Create a Research Strategy 

Approach the research process systematically by creating a research strategy. First, review your library's website. What resources are available? Where will you find them? Do any resources require a special process to gain access? Start gathering those resources—especially those that may be difficult to access—as soon as possible.

Second, make an appointment with a reference librarian . A reference librarian is nothing short of a research superhero. He or she will listen to your research question, offer suggestions for how to focus your research, and direct you toward valuable sources that directly relate to your topic.

Evaluate Sources

Now that you've gathered a wide array of sources, it's time to evaluate them. First, consider the reliability of the information. Where is the information coming from? What is the origin of the source? Second, assess the  relevance  of the information. How does this information relate to your research question? Does it support, refute, or add context to your position? How does it relate to the other sources you'll be using in your paper? Once you have determined that your sources are both reliable and relevant, you can proceed confidently to the writing phase. 

Why Write Research Papers? 

The research process is one of the most taxing academic tasks you'll be asked to complete. Luckily, the value of writing a research paper goes beyond that A+ you hope to receive. Here are just some of the benefits of research papers. 

• Learning Scholarly Conventions:  Writing a research paper is a crash course in the stylistic conventions of scholarly writing. During the research and writing process, you'll learn how to document your research, cite sources appropriately, format an academic paper, maintain an academic tone, and more.
• Organizing Information: In a way, research is nothing more than a massive organizational project. The information available to you is near-infinite, and it's your job to review that information, narrow it down, categorize it, and present it in a clear, relevant format. This process requires attention to detail and major brainpower.
• Managing Time: Research papers put your time management  skills to the test. Every step of the research and writing process takes time, and it's up to you to set aside the time you'll need to complete each step of the task. Maximize your efficiency by creating a research schedule and inserting blocks of "research time" into your calendar as soon as you receive the assignment. 
• Exploring Your Chosen Subject:  We couldn't forget the best part of research papers—learning about something that truly excites you. No matter what topic you choose, you're bound to come away from the research process with new ideas and countless nuggets of fascinating information. 

The best research papers are the result of genuine interest and a thorough research process. With these ideas in mind, go forth and research. Welcome to the scholarly conversation!

• How to Narrow the Research Topic for Your Paper
• 10 Places to Research Your Paper
• How to Write a Research Paper That Earns an A
• What Is a Senior Thesis?
• Documentation in Reports and Research Papers
• An Introduction to Academic Writing
• How to Organize Research Notes
• Writing an Annotated Bibliography for a Paper
• What Is a Bibliography?
• 5 Steps to Writing a Position Paper
• Abstract Writing for Sociology
• How to Develop a Research Paper Timeline
• Writing a Paper about an Environmental Issue
• Finding Trustworthy Sources
• How to Get Started on a Literature Review
• How to Write a News Article That's Effective

How to write a Research Paper – Step by Step Guide

A Step-by-Step Guide to writing a research paper

Introduction:

Writing a research paper is a job that we all have to do in our academic life. A research paper represents the ideas of the person who writes it. In simple words, a research paper presents an original idea and substantiates it with logical arguments. Writing a research paper in the domain of English literature is very different compared to writing research articles in other domains. Literature inclines towards abstract thinking. In other subjects, one has to stick to the facts. Howsoever you try, disputing an idea of science becomes very difficult. On the other hand, to contradict an idea in the purview of literature, you just need a systematic flow of arguments (logical and valid) and it’s done! So, writing a research paper in the field of English literature becomes easy if arguments are strong, in a sequence and wisely crafted.

Step 1: Choose the topic of your research paper:

This is one of the most vital parts. Choosing a topic is a crucial choice to make and it has to be taken seriously. You have to choose the area of your interest in English literature and then narrow it down to the area of your expertise. You cannot write a paper on the topics which are wider than a Doctoral thesis! So, you have to be precise and wise while choosing your topic.

An example: Suppose a person has adequate knowledge about Matthew Arnold. Can he write a research article on Arnold alone? No! He will need to bring the topic to some specific idea related to Arnold. The possibilities may be in his prose or poetry writing. In certain states in India, students work on topics like “Matthew Arnold as a poet” and “Matthew Arnold as a great prose writer” which is invalid, injustice and academically a sin. It should not be encouraged! Someone being a poet cannot be a subject of a research article. Any special quality of someone’s poetry writing can certainly be an interesting topic of a research paper – now you must have the idea. ‘Hopelessness and Despair in the poetry of Matthew Arnold’ can be a topic for a brilliant research paper. The hint is very simple – narrow it down to the speciality and you will have your topic ready!

Read in detail – How to choose a research topic? 

Step 2: Collect information – primary and secondary sources:

Now that you have selected a topic for your research paper, you should find ‘credible sources’ that substantiate your ‘paper’s purpose’. Sources are divided into two major categories – primary and secondary. Primary sources are the materials produced by the people who feature in your topic. In the case of our example above, poetry by Matthew Arnold and other writings by him will be primary sources. Secondary sources are the writings ‘about the topic and anything related to the topic’. Therefore, you have to browse the internet, visit a library, check your bookshelves and do anything that will bring you information about the topic and anything that relates to the topic.

Step 3: Plan your research article:

Before you begin writing the paper, it’s always wise to have a clear plan in your mind. Planning a research paper in the domain of English literature should always begin with a clear ‘purpose of research’ in your mind. Why are you writing this paper? What point do you want to make? How significant is that point? Do you have your arguments to support the point (or idea) that you want to establish? Do you have enough credible sources that support the arguments you want to make in the body of the paper? If all the answers are positive, move to the next step and begin writing the drafts for your paper.

Step 4: Writing the first draft of your research paper:

Now it comes to writing the paper’s first draft. Before you begin writing, have a clear picture of your paper in your mind. It will make the job easier. What does a research paper look like? Or, rather, what’s the ideal structure of a research paper?

Beginning – Introduce your idea that drives the research paper. How do you approach that idea? What is your paper – an analysis, review of a book or two ideas compared or something else. The introduction must tell the story of your research in brief – ideas, a highlight or arguments and the glimpse of conclusion. It is generally advised that the introduction part should be written in the end so that you have the final research paper clearly justified, introduced and highlighted at the beginning itself.

Middle – And here goes the meat of your paper. All that you have to emphasise, euphemise, compare, collaborate and break down will take place in the middle or the body of your research paper. Please be careful once you begin writing the body of your paper. This is what will impact your readers (or the examiners or the teachers) the most. You have to be disciplined, systematic, clever and also no-nonsense. Make your points and support them with your arguments. Arguments should be logical and based on textual proofs (if required). Analyse, compare or collaborate as required to make your arguments sharp and supportive to the proposition that you make. The example topic of a research paper that we chose somewhere above in this article – Hopelessness and Despair in the Poetry of Matthew Arnold will require the person writing this paper to convince the readers (and so on) that actually Arnold’s poetry gives a sign of the two negative attitudes picked as the topic. It would be wise to analyse the works (and instances from them, to be specific) The Scholar Gypsy, Empedocles on Etna, Dover Beach and others that support the proposition made in the topic for research. You can use primary and secondary sources and cite them wisely as required. You have to convince the readers of your paper that what you propose in the purpose of the research paper stands on the ground as a logical and valid proposition.

End – Or the conclusion of a research paper that should be written wisely and carefully. You can use a few of your strongest arguments here to strike the final balance and make your proposition justified. After a few of your strongest arguments are made, you can briefly summarise your research topic and exhibit your skills of writing to close the lid by justifying why you are proposing that you have concluded what you began. Make sure that you leave the least possible loopholes for conjecture after you conclude your paper.

Reference: You can use two of the most used styles (or rather only used) to give a list of references in your paper – APA or MLA. Whatever you choose needs to be constant throughout the paper.

To summarise, here is what a research paper should look like:

• Introduction
• A list of References

Step 5: Read & re-read your draft: It gives you the chance to judge your research paper and find the possible shortcomings so that you can make amends and finalise your paper before you print it out for your academic requirements. While you read your first draft, treat it with a purpose to find contradictions and conjecture points as much as possible. Wherever you find the chances of contradiction possible, you have to make those arguments forceful and more logical and substantiate them to bypass the fear of being contradicted (and defeated). Let us be clear – it is English literature we are dealing with and there will be contradictions. Don’t fear it. However, make sure your arguments are not defeated. The defeat means your paper will not hold up to the scrutiny of the experts. And this is why you need to read and re-read the first draft of your literature research paper.

Step 6: Finalise & print your research paper: After reading your paper 1 or 2 times, you should be sure what needs to be changed and otherwise. Finalise it so that it appears the best and sounds good to be the final version. Print your work in the best possible quality and you are done! If there is a verbal question-answer associated with the paper you prepare, make sure you understand it completely and are ready for the questions from any possible side of your topic.

This was our step-by-step guide to writing a research paper in the field of English literature. We hope you have found it useful. We will write more articles associated with the concept – such as choosing a research topic, building arguments, writing powerful introductions. Make sure you subscribe to our website so that you are notified whenever we post a new article on English Literature Education! All the best with your paper!

More guides on How to Subjects: 

How to Study Poetry?

Read related articles from this category:

Bildungsroman – literary term definition, examples, notes & help you need

List of important literary terms associated with studying drama or play – Literature Guides

What is Drama? What is Drama in Literature? Features, Types & Details Students Must Know

Have something to say? Add your comments:

9 Comments . Leave new

Thank you so much, explanation about research work is a nice manner. (private information retracted)

Very well written article! Thanks for this. I was confused about my research paper. I am sure I can do it now.

Quite resourceful. thank you.

Very nice reseach paper

It was very nice reading, helpful for writing research paper.

Thanks for your kind sharing of the information

Normally, I don’t leave any replies after reading a blog, but I couldn’t help this time. I found this blog very useful. So, I’m writing my research paper and I’ve been racking my brain and the internet for a good topic, plus trying to learn how to write a research paper. Thank you so much for putting this up!

I want to work on The French Revolution and its impact on romantic poetry. Please help in this regard.

Thanks a lot for the information.

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Research on Grammar

Main navigation.

The late Robert J. Connors once called it "the various bodies of knowledge and prejudice called 'grammar.'" For more on the knowledge part, see below:

Selected Research

Connors, robert j. "grammar in american college composition: an historical overview." the territory of language: linguistics, stylistics, and the teaching of composition. ed. donald a.mcquade. carbondale: southern illinois up, 1986. 3-22..

Robert J. Connors, who co-authored Andrea Lunsford's early research on the frequency of error, also studied the history of English grammar instruction in the United States. When did American schools switch from teaching Latin grammar to teaching English grammar? Who invented and popularized sentence-diagramming? How did the rise of structural linguistics in the 1950s affect ideas about grammar? In his inimitable style, Connors treated these questions and more.

Connors, Robert J., and Andrea A. Lunsford. "Frequency of Formal Errors in Current College Writing, or Ma and Pa Kettle Do Research." College Composition and Communication 39.4 (Dec. 1988): 395-409.

Hartwell, patrick. "grammar, grammars, and the teaching of grammar." college english 47.2 (1985): 105-127..

In this classic essay, Patrick Hartwell offers five definitions of grammar that elucidate the many ways the term gets used: from an internalized set of linguistic rules to a meta-awareness and stylistic choice.  His varied definitions suggest the co-existence of multiple literacies that undermine an approach to teaching grammar focused exclusively on correctness.

Lunsford, Andrea A. and Karen J. Lunsford. "'Mistakes Are a Fact of Life': A National Comparative Study."  College Composition and Communication 59.4 (Jun. 2008): 781-806.

Stanford's own Andrea Lunsford, Louise Hewett Nixon Professor of English, is a leader in the study of error in writing. Her long-term quantitative research has revealed shifting patterns of error as technologies and rhetorical situations change. Among Professor Lunsford's findings ( summarized in Top 20 form here ):

• Student papers today are longer and more complex than they were 20 years ago, yet there has been no significant increase in the overall rate of error.
• Although word-processing tools have advanced substantially, they are responsible for the most common error in student writing today: using the wrong word, spelled correctly.

Micciche, Laura. "Making a Case for Rhetorical Grammar." College Composition and Communication 55.4 (Jun. 2004): 716-737.

What do you think of when you think of the word "grammar"? Laura Micciche argues most people think of formal grammar: "Usually, our minds go to those unending rules and exceptions, those repetitive drills and worksheets..." (720). This formal grammar is "the deadly kind of grammar," the one that makes us anxious. Drawing on Martha Kolln's idea of "rhetorical grammar," Micciche argues that grammar doesn't have to be deadly: it can give a writer more powerful choices, and thus make writing and communicating more satisfying and more pleasurable.

Williams, Joseph M. "The Phenomenology of Error." College Composition and Communication 32.2 (May 1981): 152-168.

Why do some grammatical errors seem to cause so much venom and rage? Why is a misuse of the word "hopefully" considered an "atrocity"? Joseph M. Williams examined this question in this still-relevant 1981 article. Williams is also the author of Style: Ten Lessons in Clarity and Grace (Longman).

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Teaching and Learning English Grammar: Research Findings and Future Directions - 2015 - Front matter and Table of Contents

Christison, M.A., Christian, D., Duff, P., & Spada, N. (Eds.). (2015). Teaching and learning English grammar: Research findings and future directions. New York: Routledge. ABSTRACT An important contribution to the emerging body of research-based knowledge about English grammar, this volume presents empirical studies along with syntheses and overviews of previous and ongoing work on the teaching and learning of grammar for learners of English as a second/foreign language. A variety of approaches are explored, including form-focused instruction, content and language integration, corpus-based lexicogrammatical approaches, and social perspectives on grammar instruction.... You'll find the (draft) chapter by Duff, Ferreira & Zappa-Hollman under 'Articles' on this site. TABLE OF CONTENTS Foreword --Joanne Dresner Preface --MaryAnn Christison, Donna Christian, Patricia A. Duff, and Nina Spada Part I. Overview of English grammar instruction Chapter 1. An overview of teaching grammar in ELT --Marianne Celce-Murcia Part II. Focus on form in second language acquisition Chapter 2. Focus on form: Addressing grammatical accuracy in an occupation-specific language program --Antonella Valeo Chapter 3. Teaching English grammar in context: The timing of form-focused intervention --Junko Hondo Chapter 4. Form-focused instruction and learner investment: Case study of a high school student in Japan ---Yasuyo Tomita Chapter 5: The influence of pretask instructions and pretask planning on focus on form during Korean EFL task-based interaction --Sujung Park Part III. The use of technology in teaching grammar Chapter 6. The role of corpus research in the design of advanced level grammar instruction --Michael J. McCarthy Chapter 7. Corpus-based lexicogrammatical approach to grammar instruction: Its use and effects in EFL and ESL contexts --Dilin Liu and Ping Jiang Chapter 8. Creating corpus-based vocabulary lists for two verb tenses: A lexicogrammar approach --Keith S. Folse Part IV. Instructional design and grammar Chapter 9. Putting (functional) grammar to work in content-based English for academic purposes instruction --Patricia A. Duff, Alfredo A. Ferreira, and Sandra Zappa-Hollman Chapter 10. Integrating grammar in adult TESOL classrooms --Anne Burns and Simon Borg Chapter 11. Teacher and learner preferences for integrated and isolated form-focused instruction --Nina Spada and Marília dos Santos Lima Chapter 12. Form-focused approaches to learning, teaching, and researching grammar --Rod Ellis Epilogue --Kathleen M. Bailey

Related Papers

The Canadian Modern Language Review / La revue canadienne des langues vivantes

Patricia (Patsy) Duff

Duff, P., Ferreira, A., & Zappa-Hollman, S. (2015). In M. Christison, D. Christian, P. Duff & N. Spada (Eds.), Teaching and learning English grammar: Research findings and future directions (pp.139-158). New York: Routledge. ABSTRACT A growing body of curriculum development, instruction, and research focuses on ways of attending to grammar systematically in content-based academic English programs (Coffin, 2010). This work examines the functions of the grammatical structures to be learned to express particular meanings in oral and written texts within and beyond sentences in authentic discourse contexts (Derewianka & Jones, 2012). Content areas in which explicit grammatical instruction has been integrated successfully include social studies, history, geography, English, and mathematics in K-12 and higher education programs (e.g., Christie, 2004; Mohan, 1986; Schleppegrell, Achugar & Oteíza, 2004). In this chapter, we first discuss the changing contexts for the teaching of English grammar across educational programs and curriculum worldwide, particularly with relatively advanced learners engaged in English-medium instruction (i.e., content and language integrated learning). Next, we discuss traditional approaches to grammar instruction and research and then review some promising functional approaches being taken up by language educators and content specialists in the US, Australia, and other countries, and at our own institution in Canada. We provide theoretical and research foundations and examples of the implementation and effectiveness of such approaches to the teaching and learning of (discourse) grammar by examining nominalization and grammatical metaphor, for example. We conclude by discussing some implications of developments in this area for teacher education--for language instructors, teacher educators, and content specialists--as well as for program development and future research on grammar instruction.

Ali Umar Fagge

Tesol Quarterly

TESL Canada Journal

Ayşe S Akyel

This article examines a number of adult ESL grammar textbooks via an author designed checklist to analyze how well they incorporate the findings from research in communicative language teaching (CLT) and in form1ocused instruction (FFI). It concludes that although a few textbooks incorporate some of the research findings in CLT and FFI, they are not necessarily those chosen by the teaching institutions.

LiBRI. Linguistic and Literary Broad Research and Innovation

Academia EduSoft

The present paper reports on a study that was carried out to compare the effectiveness of three instructional techniques, namely dialogues, focused tasks, and games on teaching grammar. The participants were 48 pre-intermediate EFL students that formed three experimental groups. A posttest consisting of 20 productive items was administered at the end of the treatment period which lasted for four sessions. The results revealed no statistically significant difference between the three groups. This suggests that the three instructional techniques had relatively the same effect on the accurate grammatical production of the learners.

Annual Review of Applied Linguistics

Hossein Nassaji

Andrew Schenck

Schenck, Andrew. An Investigation of the Relationship Between Grammar Type and Efficacy of Form-Focused Instruction. The New Studies of English Language & Literature 69 (2018): 223-248. Because phonological, semantic, and morphosyntactic characteristics of grammatical features can have a significant impact on form-focused instruction, utilization of different grammatical features to test new language teaching techniques may conflate determinations of efficacy or inefficacy. The purpose of this study was to holistically examine different types of instruction, comparing them with grammatical features to evaluate effectiveness. Forty-six experimental studies of form-focused instruction were selected for study. Comparison of effect sizes suggests that the efficacy of form-focused instruction differs considerably based upon the type of grammatical feature targeted. Input-based instruction (e.g.,input enhancement or explicit rule presentation) appears more useful for features like the plural -s, past -ed, and third person singular -s, which are phonologically insalient, yet morphologically regular. Output-based instruction (e.g., corrective feedback or recasts), in contrast, appears more effective with grammatical features such as questions, phrasal verbs, conditionals, and articles, which are syntactically or semantically complex. Overall, the results suggest that differences in grammar be considered before curricula or pedagogical interventions are designed. (State University of New York, Korea)

International Journal of English Language Teaching

This paper unravels aspects of English grammar to be reinforced in the teaching of English as a second or foreign language. The data sources for the study are the following: the broad corpus which consists of 392 BEPC exam essays (2014 and 2015), 46 class test essays (15 in 2016, 15 in 2017 and 16 in 2018) and the narrow corpus which consists of a series of ten (10) designed tests altogether intended for 100 Troisieme class pupils (administered in 2019). The framework used for this study is the Communicative Effect Taxonomy in error analysis as developed by Hendrickson (1976). Findings revealed that Troisieme pupils' English is strewn with global errors, local errors and ambiguous errors. Actually, 20 global error types (including the choice of the wrong auxiliary), 14 local error types (including the V-ed form attached to irregular verbs) and 9 types of ambiguous errors (including the use of the preposition 'at' in place of 'about') were identified in the broad corpus and highlighted in the narrow corpus. By doing so, Troisieme pupils' communicative proficiency as well as their linguistic proficiency was found to be low, and their communicative proficiency was found to be lower than their linguistic proficiency. From the above aspects of English grammar to be reinforced in the teaching of English as a second or foreign language were unveiled. The essence of it all is to improve communicative and linguistic proficiency in English.

Hilal Peker

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Language and Grammar Rules for Academic Writing

Academic writing is a form of writing that is used by researchers and scholars to communicate their findings and ideas to the academic community. It is a formal and precise form of writing that requires a deep understanding of language and grammar rules. Researchers need to understand and follow these rules not only to effectively communicate their ideas to academic audiences but also to get published successfully. This article provides researchers, especially non-native English speakers, an overview of basic language and grammar rules that need to be followed in academic writing.

Careful use of punctuations

One of the most important grammar rules for writing is the use of proper punctuation. Punctuation marks such as commas, semicolons, and colons are used to indicate the structure of a sentence and to make it easier for readers to understand the meaning of the text. For example, a comma is used to separate phrases in a sentence, while a semicolon is used to separate independent clauses. Researchers should be careful to use punctuation marks correctly in order to avoid confusion or misinterpretation of their text.

Correct verb tense usage

Another basic grammar rule in academic writing is the use of proper verb tenses. Verbs are simply ‘ doing words’ and verb tenses are typically used to describe the time at which an action is taking place. In academic writing, for example, the past tense is typically used to describe research that has been conducted, while the present tense is used to describe the findings of that research. Researchers should be careful to use the appropriate verb tense in order to clearly convey their ideas and to avoid confusion.

Use simple, concise sentences

 In addition to grammar rules, academic writing also requires a deep understanding of sentence structure. Sentences should be clear and concise, and should be structured in a logical and easy-to-understand way. Researchers should avoid using overly complex or convoluted sentence structures, and should instead strive to make their writing as clear and accessible as possible.

Avoid using ambiguous language

Researchers must use concrete language and avoid vague ambiguous language in academic writing. Ambiguity arises when a sentence can be interpreted in more than one way due to the lack of information provided. When writing a scientific paper, researchers must minimize the use of figurative or imaginative language and instead use language that helps convey accurate details of the work done.

Appropriate word choices

One of the basic rules for language and grammar in academic writing is using certain broader writing conventions like writing in third person, using passive voice and maintaining an objective tone. Experts suggest the use of simple, accurate, non-colloquial verbiage available to share research findings. Choosing the right words and internationally accepted terms is important in academic writing.

Ensure accuracy in citations

Academic writing requires the use of proper citations. Researchers are responsible for providing accurate citations for any sources they use in their research. This is important to avoid plagiarism and to give credit to the original authors. There are different citation styles, such as APA, MLA, and Chicago, and researchers should be familiar with the citation style required by their particular field.

Meet standard formatting specifications

Another important writing rule in academic writing is the use of proper formatting. Researchers must always check the specific journal’s style guide before starting the writing process to ensure that there are no additional style requirements or variations in preference. Academic papers should be well-organized and easy to read, with a clear introduction, body, and conclusion. Researchers should also use headings and sub-headings to help guide the reader through their text. Additionally, academic papers should be typed and printed in a legible font, such as Times New Roman or Arial, and should be double-spaced for easy reading.

In conclusion, proper punctuation, verb tense, sentence structure, citation, and formatting are all important aspects of academic writing that researchers should be familiar with. By understanding and following these rules, researchers can ensure that their writing is clear, concise, and easy to understand, and that their ideas are communicated effectively to the academic community.

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How to Write a Research Question: Types and Examples 

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Is AI ready to mass-produce lay summaries of research articles?

• Kamal Nahas 0

Kamal Nahas is a freelance science journalist based in Oxford, UK

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Generative AI might be a powerful tool in making research more accessible for scientists and the broader public alike. Credit: Getty

Thinking back to the early days of her PhD programme, Esther Osarfo-Mensah recalls struggling to keep up with the literature. “Sometimes, the wording or the way the information is presented actually makes it quite a task to get through a paper,” says the biophysicist at University College London. Lay summaries could be a time-saving solution. Short synopses of research articles written in plain language could help readers to decide which papers to focus on — but they aren’t common in scientific publishing. Now, the buzz around artificial intelligence (AI) has pushed software engineers to develop platforms that can mass produce these synopses.

Scientists are drawn to AI tools because they excel at crafting text in accessible language, and they might even produce clearer lay summaries than those written by people. A study 1 released last year looked at lay summaries published in one journal and found that those created by people were less readable than were the original abstracts — potentially because some researchers struggle to replace jargon with plain language or to decide which facts to include when condensing the information into a few lines.

AI lay-summary platforms come in a variety of forms (see ‘AI lay-summary tools’). Some allow researchers to import a paper and generate a summary; others are built into web servers, such as the bioRxiv preprint database.

AI lay-summary tools

Several AI resources have been developed to help readers glean information about research articles quickly. They offer different perks. Here are a few examples and how they work:

- SciSummary: This tool parses the sections of a paper to extract the key points and then runs those through the general-purpose large language model GPT-3.5 to transform them into a short summary written in plain language. Max Heckel, the tool’s founder, says it incorporates multimedia into the summary, too: “If it determines that a particular section of the summary is relevant to a figure or table, it will actually show that table or figure in line.”

- Scholarcy: This technology takes a different approach. Its founder, Phil Gooch, based in London, says the tool was trained on 25,000 papers to identify sentences containing verb phrases such as “has been shown to” that often carry key information about the study. It then uses a mixture of custom and open-source large language models to paraphrase those sentences in plain text. “You can actually create ten different types of summaries,” he adds, including one that lays out how the paper is related to previous publications.

- SciSpace: This tool was trained on a repository of more than 280 million data sets, including papers that people had manually annotated, to extract key information from articles. It uses a mixture of proprietary fine-tuned models and GPT-3.5 to craft the summary, says the company’s chief executive, Saikiran Chandha, based in San Francisco, California. “A user can ask questions on top of these summaries to further dig into the paper,” he notes, adding that the company plans to develop audio summaries that people can tune into on the go.

Benefits and drawbacks

Mass-produced lay summaries could yield a trove of benefits. Beyond helping scientists to speed-read the literature, the synopses can be disseminated to people with different levels of expertise, including members of the public. Osarfo-Mensah adds that AI summaries might also aid people who struggle with English. “Some people hide behind jargon because they don’t necessarily feel comfortable trying to explain it,” she says, but AI could help them to rework technical phrases. Max Heckel is the founder of SciSummary, a company in Columbus, Ohio, that offers a tool that allows users to import a paper to be summarized. The tool can also translate summaries into other languages, and is gaining popularity in Indonesia and Turkey, he says, arguing that it could topple language barriers and make science more accessible.

Despite these strides, some scientists feel that improvements are needed before we can rely on AI to describe studies accurately.

Will Ratcliff, an evolutionary biologist at the Georgia Institute of Technology in Atlanta, argues that no tool can produce better text than can professional writers. Although researchers have different writing abilities, he invariably prefers reading scientific material produced by study authors over those generated by AI. “I like to see what the authors wrote. They put craft into it, and I find their abstract to be more informative,” he says.

Is ChatGPT making scientists hyper-productive? The highs and lows of using AI

Nana Mensah, a PhD student in computational biology at the Francis Crick Institute in London, adds that, unlike AI, people tend to craft a narrative when writing lay summaries, helping readers to understand the motivations behind each step of the study. He says, however, that one advantage of AI platforms is that they can write summaries at different reading levels, potentially broadening the audience. In his experience, however, these synopses might still include jargon that can confuse readers without specialist knowledge.

AI tools might even struggle to turn technical language into lay versions at all. Osarfo-Mensah works in biophysics, a field with many intricate parameters and equations. She found that an AI summary of one of her research articles excluded information from a whole section. If researchers were looking for a paper with those details and consulted the AI summary, they might abandon her paper and look for other work.

Andy Shepherd, scientific director at global technology company Envision Pharma Group in Horsham, UK, has in his spare time compared the performances of several AI tools to see how often they introduce blunders. He used eight text generators, including general ones and some that had been optimized to produce lay summaries. He then asked people with different backgrounds, such as health-care professionals and the public, to assess how clear, readable and useful lay summaries were for two papers.

“All of the platforms produced something that was coherent and read like a reasonable study, but a few of them introduced errors, and two of them actively reversed the conclusion of the paper,” he says. It’s easy for AI tools to make this mistake by, for instance, omitting the word ‘not’ in a sentence, he explains. Ratcliff cautions that AI summaries should be viewed as a tool’s “best guess” of what a paper is about, stressing that it can’t check facts.

Broader readership

The risk of AI summaries introducing errors is one concern among many. Another is that one benefit of such summaries — that they can help to share research more widely among the public — could also have drawbacks. The AI summaries posted alongside bioRxiv preprints, research articles that have yet to undergo peer review, are tailored to different levels of reader expertise, including that of the public. Osarfo-Mensah supports the effort to widen the reach of these works. “The public should feel more involved in science and feel like they have a stake in it, because at the end of the day, science isn’t done in a vacuum,” she says.

But others point out that this comes with the risk of making unreviewed and inaccurate research more accessible. Mensah says that academics “will be able to treat the article with the sort of caution that’s required”, but he isn’t sure that members of the public will always understand when a summary refers to unreviewed work. Lay summaries of preprints should come with a “hazard warning” informing the reader upfront that the material has yet to be reviewed, says Shepherd.

Why scientists trust AI too much — and what to do about it

“We agree entirely that preprints must be understood as not peer-reviewed when posted,” says John Inglis, co-founder of bioRxiv, who is based at Cold Spring Harbor Laboratory in New York. He notes that such a disclaimer can be found on the homepage of each preprint, and if a member of the public navigates to a preprint through a web search, they are first directed to the homepage displaying this disclaimer before they can access the summary. But the warning labels are not integrated into the summaries, so there is a risk that these could be shared on social media without the disclaimer. Inglis says bioRxiv is working with its partner ScienceCast, whose technology produces the synopses, on adding a note to each summary to negate this risk.

As is the case for many other nascent generative-AI technologies, humans are still working out the messaging that might be needed to ensure users are given adequate context. But if AI lay-summary tools can successfully mitigate these and other challenges, they might become a staple of scientific publishing.

doi: https://doi.org/10.1038/d41586-024-00865-4

Wen, J. & Yi, L. Scientometrics 128 , 5791–5800 (2023).

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Title: uni-smart: universal science multimodal analysis and research transformer.

Abstract: In scientific research and its application, scientific literature analysis is crucial as it allows researchers to build on the work of others. However, the fast growth of scientific knowledge has led to a massive increase in scholarly articles, making in-depth literature analysis increasingly challenging and time-consuming. The emergence of Large Language Models (LLMs) has offered a new way to address this challenge. Known for their strong abilities in summarizing texts, LLMs are seen as a potential tool to improve the analysis of scientific literature. However, existing LLMs have their own limits. Scientific literature often includes a wide range of multimodal elements, such as molecular structure, tables, and charts, which are hard for text-focused LLMs to understand and analyze. This issue points to the urgent need for new solutions that can fully understand and analyze multimodal content in scientific literature. To answer this demand, we present Uni-SMART (Universal Science Multimodal Analysis and Research Transformer), an innovative model designed for in-depth understanding of multimodal scientific literature. Through rigorous quantitative evaluation across several domains, Uni-SMART demonstrates superior performance over leading text-focused LLMs. Furthermore, our exploration extends to practical applications, including patent infringement detection and nuanced analysis of charts. These applications not only highlight Uni-SMART's adaptability but also its potential to revolutionize how we interact with scientific literature.

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A.I. Is Learning What It Means to Be Alive

Given troves of data about genes and cells, A.I. models have made some surprising discoveries. What could they teach us someday?

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By Carl Zimmer

• Published March 10, 2024 Updated March 12, 2024

In 1889, a French doctor named Francois-Gilbert Viault climbed down from a mountain in the Andes, drew blood from his arm and inspected it under a microscope. Dr. Viault’s red blood cells, which ferry oxygen, had surged 42 percent. He had discovered a mysterious power of the human body: When it needs more of these crucial cells, it can make them on demand.

In the early 1900s, scientists theorized that a hormone was the cause. They called the theoretical hormone erythropoietin, or “red maker” in Greek. Seven decades later, researchers found actual erythropoietin after filtering 670 gallons of urine .

And about 50 years after that, biologists in Israel announced they had found a rare kidney cell that makes the hormone when oxygen drops too low. It’s called the Norn cell , named after the Norse deities who were believed to control human fate.

It took humans 134 years to discover Norn cells. Last summer, computers in California discovered them on their own in just six weeks.

The discovery came about when researchers at Stanford programmed the computers to teach themselves biology. The computers ran an artificial intelligence program similar to ChatGPT, the popular bot that became fluent with language after training on billions of pieces of text from the internet. But the Stanford researchers trained their computers on raw data about millions of real cells and their chemical and genetic makeup.

The researchers did not tell the computers what these measurements meant. They did not explain that different kinds of cells have different biochemical profiles. They did not define which cells catch light in our eyes, for example, or which ones make antibodies.

The computers crunched the data on their own, creating a model of all the cells based on their similarity to each other in a vast, multidimensional space. When the machines were done, they had learned an astonishing amount . They could classify a cell they had never seen before as one of over 1,000 different types. One of those was the Norn cell.

“That’s remarkable, because nobody ever told the model that a Norn cell exists in the kidney,” said Jure Leskovec, a computer scientist at Stanford who trained the computers.

The software is one of several new A.I.-powered programs, known as foundation models, that are setting their sights on the fundamentals of biology. The models are not simply tidying up the information that biologists are collecting. They are making discoveries about how genes work and how cells develop.

As the models scale up, with ever more laboratory data and computing power, scientists predict that they will start making more profound discoveries. They may reveal secrets about cancer and other diseases. They may figure out recipes for turning one kind of cell into another.

“A vital discovery about biology that otherwise would not have been made by the biologists — I think we’re going to see that at some point,” said Dr. Eric Topol, the director of the Scripps Research Translational Institute.

Just how far they will go is a matter of debate. While some skeptics think the models are going to hit a wall, more optimistic scientists believe that foundation models will even tackle the biggest biological question of them all: What separates life from nonlife?

Heart Cells and Mole Rats

Biologists have long sought to understand how the different cells in our bodies use genes to do the many things we need to stay alive.

About a decade ago, researchers started industrial-scale experiments to fish out genetic bits from individual cells. They recorded what they found in catalogs, or “ cell atlases ,” that swelled with billions of pieces of data.

Dr. Christina Theodoris, a medical resident at Boston Children’s Hospital, was reading about a new kind of A.I. model made by Google engineers in 2017 for language translations. The researchers provided the model with millions of sentences in English, along with their translations into German and French. The model developed the power to translate sentences it hadn’t seen before. Dr. Theodoris wondered if a similar model could teach itself to make sense of the data in cell atlases.

In 2021, she struggled to find a lab that might let her try to build one. “There was a lot of skepticism that this approach would work at all,” she said.

Shirley Liu, a computational biologist at the Dana-Farber Cancer Institute in Boston, gave her a shot. Dr. Theodoris pulled data from 106 published human studies, which collectively included 30 million cells, and fed it all into a program she created called GeneFormer.

The model gained a deep understanding of how our genes behave in different cells. It predicted, for example, that shutting down a gene called TEAD4 in a certain type of heart cell would severely disrupt it. When her team put the prediction to the test in real cells called cardiomyocytes, the beating of the heart cells grew weaker.

In another test, she and her colleagues showed GeneFormer heart cells from people with defective heartbeat rhythms as well as from healthy people. “Then we said, Now tell us what changes we need to happen to the unhealthy cells to make them healthy,” said Dr. Theodoris, who now works as a computational biologist at the Gladstone Institutes in San Francisco.

GeneFormer recommended reducing the activity of four genes that had never before been linked to heart disease. Dr. Theodoris’s team followed the model’s advice, knocking down each of the four genes. In two out of the four cases, the treatment improved how the cells contracted.

The Stanford team got into the foundation-model business after helping to build one of the biggest databases of cells in the world, known as CellXGene . Beginning in August, the researchers trained their computers on the 33 million cells in the database, focusing on a type of genetic information called messenger RNA. They also fed the model the three-dimensional structures of proteins, which are the products of genes.

From this data, the model — known as Universal Cell Embedding, or U.C.E. — calculated the similarity among cells, grouping them into more than 1,000 clusters according to how they used their genes. The clusters corresponded to types of cells discovered by generations of biologists.

U.C.E. also taught itself some important things about how the cells develop from a single fertilized egg. For example, U.C.E. recognized that all the cells in the body can be grouped according to which of three layers they came from in the early embryo.

“It essentially rediscovered developmental biology,” said Stephen Quake, a biophysicist at Stanford who helped develop U.C.E.

The model was also able to transfer its knowledge to new species. Presented with the genetic profile of cells from an animal that it had never seen before — a naked mole rat, say — U.C.E. could identify many of its cell types.

“You can bring a completely new organism — chicken, frog, fish, whatever — you can put it in, and you will get something useful out,” Dr. Leskovec said.

After U.C.E. discovered the Norn cells, Dr. Leskovec and his colleagues looked in the CellXGene database to see where they had come from. While many of the cells had been taken from kidneys, some had come from lungs or other organs. It was possible, the researchers speculated, that previously unknown Norn cells were scattered across the body.

Dr. Katalin Susztak, a physician-scientist at the University of Pennsylvania who studies Norn cells, said that the finding whetted her curiosity. “I want to check these cells,” she said.

She is skeptical that the model found true Norn cells outside the kidneys, since the erythropoietin hormone hasn’t been found in other places. But the new cells may sense oxygen as Norn cells do.

In other words, U.C.E. may have discovered a new type of cell before biologists did.

An ‘Internet of Cells’

Just like ChatGPT , biological models sometimes get things wrong. Kasia Kedzierska, a computational biologist at the University of Oxford, and her colleagues recently gave GeneFormer and another foundation model , scGPT, a battery of tests . They presented the models with cell atlases they hadn’t seen before and had them perform tasks such as classifying the cells into types. The models performed well on some tasks, but in other cases they fared poorly compared with simpler computer programs.

Dr. Kedzierska said she had great hopes for the models but that, for now, “they should not be used out of the box without a proper understanding of their limitations.”

Dr. Leskovec said that the models were improving as scientists trained them on more data. But compared with ChatGPT’s training on the entire internet, the latest cell atlases offer only a modest amount of information. “I’d like an entire internet of cells,” he said.

More cells are on the way as bigger cell atlases come online. And scientists are gleaning different kinds of data from each of the cells in those atlases. Some scientists are cataloging the molecules that stick to genes, or taking photographs of cells to illuminate the precise location of their proteins. All of that information will allow foundation models to draw lessons about what makes cells work.

Scientists are also developing tools that let foundation models combine what they’re learning on their own with what flesh-and-blood biologists have already discovered. The idea would be to connect the findings in thousands of published scientific papers to the databases of cell measurements.

With enough data and computing power, scientists say, they may eventually create a complete mathematical representation of a cell.

“That’s going to be hugely revolutionary for the field of biology,” said Bo Wang, a computational biologist at the University of Toronto and the creator of scGPT. With this virtual cell, he speculated, it would be possible to predict what a real cell would do in any situation. Scientists could run entire experiments on their computers rather than in petri dishes.

Dr. Quake suspects that foundation models will learn not just about the kinds of cells that currently reside in our bodies but also about kinds of cells that could exist. He speculates that only certain combinations of biochemistry can keep a cell alive. Dr. Quake dreams of using foundation models to make a map showing the realm of the possible, beyond which life cannot exist.

“I think these models are going to help us get some really fundamental understanding of the cell, which is going to provide some insight into what life really is,” Dr. Quake said.

Having a map of what’s possible and impossible to sustain life might also mean that scientists could actually create new cells that don’t yet exist in nature. The foundation model might be able to concoct chemical recipes that transform ordinary cells into new, extraordinary ones. Those new cells might devour plaque in blood vessels or explore a diseased organ to report back on its condition.

“It’s very ‘Fantastic Voyage ’- ish,” Dr. Quake admitted. “But who knows what the future is going to hold?”

If foundation models live up to Dr. Quake’s dreams, they will also raise a number of new risks. On Friday, more than 80 biologists and A.I. experts signed a call for the technology to be regulated so that it cannot be used to create new biological weapons. Such a concern might apply to new kinds of cells produced by the models.

Privacy breaches could happen even sooner. Researchers hope to program personalized foundation models that would look at an individual’s unique genome and the particular way that it works in cells. That new dimension of knowledge could reveal how different versions of genes affect the way cells work. But it could also give the owners of a foundation model some of the most intimate knowledge imaginable about the people who donated their DNA and cells to science.

Some scientists have their doubts about how far foundational models will make it down the road to “Fantastic Voyage,” however. The models are only as good as the data they are fed. Making an important new discovery about life may depend on having data on hand that we haven’t figured out how to collect. We might not even know what data the models need.

“They might make some new discoveries of interest,” said Sara Walker, a physicist at Arizona State University who studies the physical basis of life. “But ultimately they are limited when it comes to new fundamental advances.”

Still, the performance of foundation models has already led their creators to wonder about the role of human biologists in a world where computers make important insights on their own. Traditionally, biologists have been rewarded for creative and time-consuming experiments that uncover some of the workings of life. But computers may be able to see those workings in a matter of weeks, days or even hours by scanning billions of cells for patterns we can’t see.

“It’s going to force a complete rethink of what we consider creativity,” Dr. Quake said. “Professors should be very, very nervous.”

Carl Zimmer covers news about science for The Times and writes the Origins column . More about Carl Zimmer

Explore Our Coverage of Artificial Intelligence

News  and Analysis

Gov. Bill Lee of Tennessee signed a bill  to prevent the use of A.I. to copy a performer’s voice. It is the first such measure in the United States.

French regulators said Google failed to notify news publishers  that it was using their articles to train its A.I. algorithms, part of a wider ruling against the company for its negotiating practices with media outlets.

Apple is in discussions with Google  about using Google’s generative A.I. model called Gemini for its next iPhone.

The Age of A.I.

By interacting with data about genes and cells, A.I. models have made some surprising discoveries and are learning what it means to be alive. What could they teach us someday ?

Covariant, a robotics start-up, is using the technology behind chatbots  to build robots that learn skills much like ChatGPT does.

When Google released Gemini, a new chatbot, the company quickly faced a backlash. The episode unleashed a fierce debate  about whether A.I. should be guided by social values.

A.I.’s booming growth is radically reshaping an already red-hot data center market, raising questions about whether these sites can be operated sustainably .

Few companies better illustrate how A.I. is changing Silicon Valley deal-making than Anthropic, one of the world’s hottest A.I. start-ups .

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Common Ground: Making Connections in Interdisciplinary Place-Based Learning

The New York City College of Technology (City Tech) Interdisciplinary Studies Committee will host a full-day conference,  Common Ground: Making Connections in Interdisciplinary Place-Based Learning ,   on Friday, October 18, 2024. This conference invites individual presentations, panel presentations, short talks, and workshop proposals that include, but are not limited to, the following topics as they relate to interdisciplinary exploration of the latest educational strategies, innovations, and practices.

HEL and Writing Studies Presentation Thread at SHEL-13 Conference

We invite proposals for the second HEL (History of the English Language) and Writing Studies thread at the 13th Studies in the History of the English Language (SHEL) conference at Fairleigh Dickinson University in Madison, New Jersey, October 17-20, 2024.

The HEL and Writing Studies thread will explore ways in which the study of language change and variation can contribute to rhetoric and writing studies, and vice versa. When proposing, keep in mind that the history of the English language extends from the origins of the language to very recent history, so proposals that engage contemporary language use through a historical lens are welcome. 

1381 After Jan. 6

1381 After January 6th

Call for Papers Midwest Modern Language Association Conference 2024 Spanish I: Peninsular Literature Before 1700

The Spanish I (Peninsular Literature before 1700) permanent section of the Midwest Modern Language Association seeks proposals for the upcoming MMLA conference in Chicago (November 14-16, 2024). Proposals on any topic related to Medieval and Early Modern Spanish Literature are welcome. Also, we seek proposals that specifically engage with the MMLA conference theme of “Health in/of the Humanities.” Please submit a 250-word abstract and a brief bio to John Giblin at [email protected]  by April 15th, 2024. Papers may be in Spanish or English. 

Critical Essays on Horror Vestron Films

Matthew Edwards

Fernando Gabriel Pagnoni Berns

Neurodiverse Narratives in the 21st Century

Dear colleagues,

Please see the below CfP for the edited collection:

Neurodiverse Narratives in the 21st Century

Rachel Milne and Shelby Judge (eds.)

MMU PGR ECR Long Nineteenth Century Research Group - Reimagining Tradition: Exploring the Long Nineteenth Century Across Disciplines

Call for Papers: MMU PGR ECR Long Nineteenth Century Research Group

Reimagining Tradition: Exploring the Long Nineteenth Century Across Disciplines

Date: 13 June 2024

Time: 16.00-19.00 BST 

Location : Online

Modernism and Modernity at the Edge

The present can feel like an endless series of crises on the brink: the limits of democratic processes, prosperity, and social cohesion are being tested by political polarisation, disinformation, hyperconnected media, neoliberal financialisation, and rising global temperatures. At what is usually seen as the far edge of the world, our location in lutruwita/ Tasmania allows us to think eccentrically about what it means to be at or on the edge – whether geographically, spatially, socially, temporally, or aesthetically. Scholars and critics thinking about Australia in twentieth-century cultural history have pondered the tyranny of distance, cultural cringe, and the provincialism problem.

How Latinos consume news and in what language reflects the changing demographics

Latinos are getting their news mostly in English and from digital sources, according to a new Pew Research Center study , which also found significant nuances in how this bicultural and often bilingual set of the American population stays informed.

The study shows how their changing demographics and language dynamics are having an impact in the way Latinos consume news.

Almost  1 in 5 Americans , 62.6 million, are Hispanic, according to the 2020 census, a 23% increase from 2010 , mainly driven by U.S.-born Latinos . But even though the Hispanic population is growing fast, the share of Latinos who speak Spanish at home has decreased. Also, the median age in Latino adults is about 30 , which is younger than other racial or ethnic groups.

While Latinos overall prefer to get their news digitally and in English, their news consumption habits are more nuanced, based on how long they have lived in the U.S.

Who follows the news closely?

About 1 in 5 Latinos (22%) said they closely follow the news all or most of the time — down from 28% in 2022, according to Pew.

The pattern echoes a larger nationwide trend showing that the share of all U.S. adults who reported closely following the news has been declining.

Additionally, Latino adults tend to be younger than other groups, and younger people are less likely to follow the news closely, according to Pew.

About a third (36%) of Latinos said they follow the news some of the time, while 23% said they do so every now and then. Seventeen percent reported they hardly ever follow the news. 

Most of the Latinos who reported following the news closely are over the age of 50 or have a college degree, the study found.

A quarter of Latinos who reported getting their news mostly in English said they follow the news all or most of the time. Only 19% of those who reported getting their news mostly in Spanish said they closely follow the news, and 21% of Latinos who get their news in both languages equally said they closely follow the news.

By the numbers: How Latinos consume news

A little more than a half of the Latinos living in the U.S. (54%) get their news predominantly in English, according to the study.

The other half of the Hispanic population is virtually split — with 21% reporting they get most of their news in Spanish and 23% reporting that they consume news equally in English and Spanish.

Eighty one percent of Latinos who were born in the U.S. said they get their news mainly in English.

But those born outside the mainland U.S. have more varied news consumption habits: they consume news predominantly in Spanish (41%) followed by primarily in English (26% ) and then in both languages equally (31%).

Among Latino immigrants, those who have lived in the U.S. longer are less inclined to get news in Spanish, according to the study.

What language do bilingual Latinos prefer?

Among Hispanic people who speak both English and Spanish, 55% said they are getting their news in English and 34% reported consuming news in both languages equally. Only 9% said they consume news predominantly in Spanish.

Regardless of language or platform, Latino news consumers mostly turn to Hispanic news outlets to get news about their countries of origin, according to Pew.

Their study defines Hispanic news outlets as those that focus on providing news and information specifically to Hispanic audiences. These can include newspapers, radio, TV stations, podcasts or social media accounts. Their content could be in Spanish, English or in both languages.

Spanish-speaking Latinos, including those who are bilingual, make up the majority of the audience for Hispanic media outlets, according to Pew.

About a third of Latinos who reported consuming information from Hispanic news outlets at least sometimes (34%) get most of their overall news mostly in Spanish. About another third (35%) said they consume news equally in both languages, while 29% said they get most of their overall news mainly in English.

Nearly two-thirds of Latinos (63%) who consume information from Hispanic media outlets are immigrants and are more likely to have lower incomes, the study found.

Most Latino adults (65%) prefer to get their news from digital sources using smartphones, computers, or tablets, the study found.

Their preferred digital sources are:

Social media (21%)

News websites or apps (19%)

Search (18%)

Podcasts (7%)

Almost a quarter (23%) of Hispanic people prefer getting their news on television and about 8% prefer radio or newspapers.

For more from NBC Latino,  sign up for our weekly newsletter .

Nicole Acevedo is a reporter for NBC News Digital. She reports, writes and produces stories for NBC Latino and NBCNews.com.

Read our research on: TikTok | Podcasts | Election 2024

Regions & Countries

How hispanic americans get their news, u.s.-born latinos overwhelmingly prefer to get their news in english; about half of immigrant latinos prefer it in spanish.

Pew Research Center conducted this study to understand Hispanic Americans’ habits around news and information, including the languages in which they consume news and their engagement with Hispanic media outlets.

Most of the questions in this report are from Pew Research Center’s 2023 National Survey of Latinos, a survey of 5,078 U.S. Hispanic adults conducted Nov. 6-19, 2023. This includes 1,524 Hispanic adults on the Center’s  American Trends Panel  (ATP) and 3,554 Hispanic adults on Ipsos’ KnowledgePanel . Respondents on both panels are recruited through national, random sampling of residential addresses. Recruiting panelists by phone or mail ensures that nearly all U.S. adults have a chance of selection. This gives us confidence that any sample can represent the whole population, or in this case the whole U.S. Hispanic population. (For more information, watch our  Methods 101 explainer  on random sampling.)

To further ensure the survey reflects a balanced cross-section of the nation’s Hispanic adults, the data is weighted to match the U.S. Hispanic adult population by age, gender, education, nativity, Hispanic origin group and other categories. Read more about the  ATP’s methodology . Refer to the topline for the questions used for our National Survey of Latinos , along with responses, and to methodology for more details.

The questions about how often people get news from various platforms, which platforms they prefer for getting news, and which social media sites people get news from are from an ATP survey of 8,842 U.S. adults, including 1,193 Hispanic adults, conducted Sept. 25-Oct. 1, 2023. Refer to the topline for t he questions used for this survey , along with responses, and to the methodology for more details.

Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. This is the latest report in Pew Research Center’s ongoing investigation of the state of news, information and journalism in the digital age, a research program funded by The Pew Charitable Trusts, with generous support from the John S. and James L. Knight Foundation.

The terms  Hispanic  and  Latino  are used interchangeably in this report.

Hispanic/Latino Americans, Hispanic/Latino adults , and Hispanics/Latinos are used interchangeably in this report to refer to survey respondents who self-identify as Hispanic or Latino in the United States. They include those who say their race is White, Black, Asian or some other race and those who identify as multiracial. Hispanic/Latino Americans live in the U.S. but are not necessarily U.S. citizens.

U.S. born  refers to people born in the 50 states or the District of Columbia.

Immigrant  refers to people born outside the 50 states or D.C. For the purposes of this report, immigrants include those born in Puerto Rico or another U.S. territory. Although individuals born in Puerto Rico are U.S. citizens by birth, they are grouped with immigrant respondents because they were born into a Spanish-dominant culture and because on many points their attitudes, views and beliefs more closely resemble those of Hispanics born outside the U.S. than Hispanics born in the 50 states or D.C., and even U.S.-born Hispanics who identify as being of Puerto Rican origin.

Second generation  refers to people born in the 50 states or D.C. who have at least one parent born in a different country, Puerto Rico or another U.S. territory.

Third generation   or higher refers to people born in the 50 states or D.C. who have two parents born in the 50 states or D.C.

Language dominance  is a composite measure based on self-described assessments of speaking and reading abilities.  Spanish-dominant  people are more proficient in Spanish than in English (i.e., they speak and read Spanish “very well” or “pretty well” but rate their English ability lower).  Bilingual  refers to people who are proficient in both English and Spanish.  English-dominant  people are more proficient in English than in Spanish.

“Middle income” is defined here as two-thirds to double the median annual family income for panelists on the American Trends Panel. “Lower income” falls below that range; “upper income” falls above it. Refer to the methodology for more details.

Hispanic news outlets are those outlets that focus on providing news and information specifically to Hispanic audiences. These can include newspapers, radio or TV stations, podcasts, or social media accounts created for and by Hispanic people. Their content could be in Spanish, English, both languages or another language.

Country of origin refers to the country that survey respondents, their parents or their Hispanic ancestors came from.

Just over half of U.S. Hispanic adults (54%) get their news mostly in English – far higher than the share who get their news mostly in Spanish (21%). About a quarter of Hispanic Americans (23%) say they consume news in both languages about equally.

There is an almost identical pattern on the question of preferred language for news: 51% prefer to get their news in English, 24% prefer Spanish and 23% say they do not have a preference.

But a new Pew Research Center survey of adults who identify as Hispanic or Latino finds major differences in news consumption habits between U.S.-born Hispanics and those who immigrated from other countries .

While U.S.-born Latinos overwhelmingly get their news in English, and prefer it in English, those born outside the United States have much more varied habits: 41% get their news mostly in Spanish, 26% get it primarily in English and 31% do both about equally. Similarly, 47% of Latino immigrants prefer to get their news in Spanish, while 22% prefer English and 31% do not express a preference.

Among Latino immigrants, those who have spent more years in the U.S. are less inclined than more recent arrivals to get news in Spanish, and more inclined to get it in English. There is little difference in the shares who get news in both languages about equally.

Jump to more information on the languages in which U.S. Latinos consume news.

We asked these questions to better understand how a group that makes up nearly one-in-five Americans stays informed, especially as its demographics and use of Spanish continue to change. Immigrants are declining as a share of all U.S. Hispanics , and the share of Hispanics who speak Spanish at home has also dropped – even though the number of Hispanics who speak Spanish at home has increased due to overall growth in the Hispanic population.

Other key findings about Hispanics’ news consumption include:

Most Latino adults prefer digital devices for news

Latinos get their news from a variety of sources, but most say they prefer to use digital devices over other platforms. Nearly nine-in-ten (87%) say they get news from digital devices at least sometimes, and 65% say they prefer this form of news over TV, radio or print. Digital devices have become an increasingly common source for news among Latinos – and among Americans overall – in recent decades, a shift driven by the rise of the internet .

Latinos are more likely than White Americans (55%) and Black Americans (50%) to prefer getting news from digital devices. Latinos also are more likely than White and Black adults to get news from social media, at least in part because Latino adults tend to be younger than other groups, and young adults are more inclined to use social media for news.

Nearly three-quarters of Latino adults under 50 (73%) prefer to get their news on digital devices, including 27% who prefer social media specifically.

Jump to more information on the platforms where U.S. Latinos get news.

Attention to news is declining among U.S. Latinos

About one-in-five Latino adults (22%) say they follow the news all or most of the time, while an additional 36% follow the news some of the time. The share of Latinos who follow the news all or most of the time has fluctuated in recent years but has dropped by 9 percentage points between 2020 (31%) and 2023 (22%), similar to a pattern seen across the general U.S. public .

In recent years, Hispanic Americans have followed the news less closely than Black and White Americans. Again, the high share of young adults within the Hispanic population plays a role, because young people are less likely to follow the news closely. Among Hispanic adults ages 18 to 29, just 10% say they follow the news all or most of the time – far below the share of Hispanics ages 65 and older who do so (44%).

Jump to more information on U.S. Hispanics’ news consumption habits.

Half of Hispanic adults get news from Hispanic news outlets

Half of U.S. Hispanic adults say they at least sometimes get news from Hispanic news outlets – those that specifically cater to Hispanic audiences. This includes 21% who say they do this extremely or very often. Just over half of Hispanics (54%) get news about their or their family’s country of origin at least sometimes, including 24% who do this often. 

Hispanic immigrants are much more likely than U.S.-born Hispanics to get news from Hispanic outlets and about their origin country. In both cases, about seven-in-ten immigrants say they at least sometimes get these types of news: 69% get news from Hispanic outlets and 72% get news about their country of origin. Among Hispanic adults who were born in the U.S., 33% at least sometimes get news from Hispanic outlets, and 38% get news about their family’s country of origin.

There are further differences among U.S.-born Hispanics: Those whose parents were also born in the U.S. are even less likely than those with one or more immigrant parent to get these types of news.

Jump to more information on Hispanic news outlets and news about Hispanic Americans’ origin countries.

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About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .