➕ Additional Capabilities to Consider
🧪 7. Research Design Support
Helps formulate hypotheses, choose methodologies, and design experiments or surveys.
📊 8. Data Analysis Guidance
Offers advice on statistical tests, coding help (e.g., Python, R), and data visualization.
🧾 9. Writing & Editing
Assists with outlining, drafting, paraphrasing, and improving clarity and coherence.
🧠 10. Idea Generation
Brainstorms research questions, project ideas, or interdisciplinary angles.
🧭 11. Ethical & Legal Guidance
Provides general advice on research ethics, IRB processes, and data privacy.
🔍 Expanded: Literature Search & Review Support
- Automated Literature Review Drafting: AI can synthesize findings from multiple sources into a coherent summary.
- Topic Summarization: Provides concise overviews of current research on a topic.
- Article Summarization: Breaks down individual papers into key points (objectives, methods, findings, limitations).
- Search Strategy Recommendations: Suggests effective keywords, Boolean operators, and filters.
- Database Guidance: Recommends specific databases (e.g., Scopus, PsycINFO, IEEE Xplore) based on discipline and topic.
Annotation: This is especially useful for students and early-career researchers who may not yet be familiar with advanced search techniques or the best databases for their field. AI can act as a bridge between novice and expert search behavior.
🧠 How This Helps Different Audiences
- Students: Learn how to conduct a literature review, find credible sources, and understand academic writing.
- Faculty: Save time on preliminary research, stay updated on new publications, and explore interdisciplinary connections.
- Librarians: Use AI as a teaching tool to demonstrate search strategies and database use, or to scale support for more users.
