Topic

AI for Research

Resources for research scholars and faculty on literature review, academic writing, verification, and publication planning.

Reading path

Use these items to keep research quality ahead of productivity. The central concern is evidence, synthesis, verification, and disclosure.

  1. Begin with source-backed literature work, not machine-written summaries.

  2. Use matrices, workflow checklists, and disclosure examples to preserve research quality.

  3. Move to writing support only after the argument and evidence are clear.

Selected notes

  1. Agentic AI Explained for Educators and Researchers

    A clear explanation of AI agents, tool use, workflows, risks, and meaningful academic applications.

Additional notes

  1. AI for Research Scholars: From Topic Selection to Publication

    A complete workflow for responsible AI use across the research lifecycle.

  2. AI Tools for Research Scholars

    A responsible map of AI tool use across topic selection, literature review, synthesis, writing, analysis support, and publication planning.

  3. AI in Academic Writing: Ethics, Boundaries, and Quality

    Guidance for using AI in writing without weakening originality, evidence, authorship, citation discipline, or scholarly voice.

  4. Literature Review Matrix Template

    A structured matrix for organizing papers, themes, methods, findings, gaps, and AI-assisted notes responsibly.

  5. Research Workflow with AI: From Topic Selection to Publication

    A staged workflow for using AI responsibly across research planning, literature work, writing, and publication readiness.

  6. Using AI for Literature Reviews without Weakening Research Quality

    A responsible workflow for search planning, synthesis, note-taking, verification, and academic writing support.

Teaching material

  1. Downloadable Literature Review Matrix for Researchers

    A reusable matrix for citation, method, sample, theory, findings, limitations, gaps, and AI notes.

  2. Generative AI Classroom Policy Template

    A template faculty can adapt for course-level AI use, disclosure, restrictions, and academic integrity.

  3. AI Disclosure Statement Examples

    Examples students and researchers can adapt to describe how AI was used, verified, and bounded.

  4. Research Workflow Checklist

    A staged checklist for using AI responsibly from topic selection to publication preparation.

  5. Assessment Redesign Worksheet

    A worksheet for reviewing assignments and redesigning them for process, reasoning, evidence, and AI-aware integrity.

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