Ethical and Efficient Research Paper Writing with Generative AI¶
Author: Atsushi Mizumoto
(Professor of Applied Linguistics, Faculty of Foreign Language Studies & Graduate School of Foreign Language Education and Research, Kansai University, Osaka, Japan)
https://mizumot.com
This site is a practical guide to writing English research papers ethically and efficiently using generative AI tools (e.g., ChatGPT).
About this site
This material is based on lectures, seminars, and workshops that the author has delivered, and has been organized so that it can be used by a broad audience, including researchers and graduate students.
Target audience
- Researchers and graduate students who have experience presenting research in Japanese and are now working on writing papers in English
- Those who want to use generative AI for academic writing but are unsure about ethics and effective practices
- Those who want to learn the fundamentals of English research article structure and academic style in a systematic way
Site structure
This site consists of the following five sections.
| Section | Content |
|---|---|
| 1. Introduction, Ethics, and Policies | The current state of generative AI, academic integrity, and guidelines from publishers and educational institutions |
| 1.1 Current State and Potential of Generative AI | Technical background and academic applications of generative AI |
| 1.2 Academic Integrity and Plagiarism Prevention | Ethical considerations and plagiarism prevention when using AI |
| 1.3 Guidelines from Publishers and Institutions | AI usage policies from major publishers, academic societies, and universities |
| 2. Structure and Corpora | IMRaD structure, corpus-based checking of conventional expressions, and academic style, tense, and logical flow |
| 2.1 The IMRaD Structure | Basic structure of research papers and the role of each section |
| 2.2 Checking Conventional Expressions with Corpora | How to verify academic expressions using corpus tools |
| 2.3 Academic Style, Tense, and Logical Flow | Style conventions, tense usage, and logical organization in academic writing |
| 3. Drafting with AI | Prompt design and practical templates, writing each section, and revision techniques |
| 3.1 Prompt Design and Practical Refinement | How to write effective prompts and refine English drafts |
| 3.2 Writing the Introduction and Background | Techniques for writing the Introduction and Literature Review |
| 3.3 Writing the Methods Section | Techniques for describing research methods |
| 3.4 Writing Data Analysis, Results, and Discussion | How to report results and develop the discussion |
| 3.5 Revision Techniques | AI-assisted revision and rewriting practices |
| 4. Quality and Submission | Grammar checks, AI detection-related issues, fact checking, reference management, reviewer response, and AI-use disclosure |
| 4.1 Grammar Checks and Style Consistency | Final grammar and style review, and handling AI detection |
| 4.2 Fact Checking and Reference Management | Verifying facts and organizing reference lists |
| 4.3 Submission Preparation and Reviewer Response | Journal submission procedures and responding to reviewers |
| 5. Summary and Practice | Common failure patterns, workflows and adoption plans, and resources/tools |
| 5.1 Common Failure Patterns | Typical mistakes when using AI and a review checklist |
| 5.2 Workflow and Adoption Plan | Steps for integrating AI into the paper writing process |
| 5.3 Other Information and Wrap-up | Related resources and recommended tools |
How to use
Each section can be read independently, but if this is your first time, it is recommended that you start from Section 1 and proceed in order. Each page includes practical explanations with prompt examples and screenshots.
About the exercises
The exercises in each section will be more effective if you work with your own draft manuscript.