AI-Powered Research Papers
Write better research papers faster with AI. Master AI-assisted literature reviews, IMRAD structure, citation management, and ethical AI use in academic writing.
What You'll Learn
- Design a research question and paper outline using AI-assisted brainstorming techniques
- Build a comprehensive literature review using AI discovery tools like Semantic Scholar and Elicit
- Write each IMRAD section (Introduction, Methods, Results, Discussion) with targeted AI assistance
- Apply proper citation practices for AI-generated content across APA, MLA, and Chicago formats
- Evaluate AI output for accuracy, bias, and hallucinated references before including it in academic work
- Create a submission-ready manuscript that meets journal standards and ethical AI disclosure requirements
Course Syllabus
Prerequisites
- Basic academic writing experience (undergraduate level or above)
- Access to an AI assistant (ChatGPT, Claude, or Gemini)
- Familiarity with your field's citation format (APA, MLA, Chicago, etc.)
What You’ll Learn
A Carnegie Mellon study found that researchers using AI properly reduced their writing time by 65% while improving their grades from B+ to A. The key word is “properly” — most researchers either avoid AI entirely or use it poorly, getting flagged for plagiarism or citing hallucinated sources.
This course teaches you the right way to integrate AI into your academic research workflow. You’ll learn to use AI for literature discovery, paper structuring, drafting, editing, and citation management — while maintaining full academic integrity and producing work that’s genuinely yours.
You’ll follow a paper from research question to submission-ready manuscript, using AI at every stage where it adds real value.
Who This Course Is For
- Graduate students writing theses, dissertations, or journal articles
- Researchers looking to accelerate their publication pipeline
- Undergraduate students working on research projects or capstone papers
- Academic professionals who want to stay current on ethical AI use in scholarship
Course Structure
8 lessons following the natural research paper workflow: from question → literature review → writing → revision → submission. Each lesson includes AI prompts you can use immediately with any major AI assistant.
Frequently Asked Questions
Is it ethical to use AI for research paper writing?
Yes, when used properly. AI is a tool — like spell checkers or citation managers. The key is transparency: disclose AI assistance, verify all outputs, never present AI text as your own original analysis, and follow your institution's or journal's AI policy.
Will journals reject papers written with AI?
Most major journals (Nature, IEEE, Springer) accept AI-assisted papers as long as you disclose AI use. They require that humans take full responsibility for accuracy. Some journals restrict AI-generated text in specific sections. We cover current policies in detail.
Can AI hallucinate fake academic sources?
Yes, and this is a critical risk. AI models sometimes generate plausible-sounding but nonexistent references. This course teaches you verification techniques to catch every hallucinated source before it enters your paper.
What AI tools does this course use?
We cover general-purpose AI (ChatGPT, Claude, Gemini) plus specialized research tools like Semantic Scholar, Elicit, Consensus, and Zotero. All core techniques work with any AI assistant.