Dr. Mohd Naved AI in Education and Research

Teaching and Research Notes

Academic Notes

Professor-authored academic notes on Generative AI, Agentic AI, AI in education, responsible adoption, research workflows, assessment, and institutional readiness.

About these notes

These academic notes are organized as short essays, guides, templates, and research-oriented teaching material. They are intended to support classroom practice, research supervision, faculty development, and institutional conversations on AI.

Suggested reading paths

For faculty

Start with AI in education, classroom policy, assessment redesign, and prompt use for teaching preparation.

For researchers

Use the literature review, academic writing, workflow, disclosure, and verification resources before applying AI to a live research project.

For institutions

Begin with readiness, policy, governance, faculty development, and assessment-risk material before selecting tools.

  1. Assessment Redesign in the Age of AI

    A guide for redesigning assignments so learning remains visible in an AI-rich environment.

  2. Responsible AI Policy for Colleges and Universities

    A policy structure for academic AI use, disclosure, privacy, assessment, and governance.

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

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

  4. Agentic AI for Universities: What Academic Leaders Must Prepare For

    A leadership guide to AI agents, autonomous workflows, oversight, risks, and readiness.

  5. Complete Indian Higher Education Guide to Generative AI

    A complete guide for Indian faculty and institutions adopting Generative AI responsibly.

  6. How to Organize a One-Day FDP on Generative AI

    A planning guide for departments and FDP cells organizing a one-day Generative AI faculty program.

  7. Classroom Policy for Responsible AI Use

    A classroom policy structure faculty can adapt for assignments, projects, disclosure, and student guidance.

  8. AI Readiness Roadmap for Colleges and Universities

    A phased roadmap for AI literacy, policy, faculty development, student guidance, pilots, and institutional review.

  9. AI Governance Checklist for Academic Departments

    A governance checklist covering roles, policy, approved use, privacy, review cycles, and academic accountability.

  10. Faculty Development Program Modules for AI Adoption

    A modular structure for designing FDPs on Generative AI, teaching, assessment, responsible use, and institutional readiness.

  11. 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.

  12. Literature Review Matrix Template

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