Dr. Mohd Naved AI in Education and Research

Audience

Institutions

Selected academic resources connected with this area.

Reading path

Use this page as an academic reading path: start with selected notes, then move to teaching material, session topics, and related records where relevant.

  1. Begin with readiness, policy, faculty development, and assessment risk.

  2. Use checklists and governance resources before recommending tools widely.

  3. Use the contact page for leadership briefings, FDPs, and policy workshops.

Selected notes

  1. Complete Guide to Generative AI in Higher Education

    A comprehensive guide for understanding, teaching, governing, and responsibly adopting Generative AI in colleges and universities.

  2. Generative AI in Higher Education: Responsible Adoption Beyond the Hype

    A roadmap for AI literacy, classroom use, assessment redesign, disclosure, and institutional readiness.

  3. Generative AI for Higher Education: A Practical Starting Framework

    A structured introduction for faculty and institutions planning responsible classroom and academic use of Generative AI.

Additional notes

  1. Complete Indian Higher Education Guide to Generative AI

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

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

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

  3. Responsible AI Policy for Colleges and Universities

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

  4. Assessment Redesign in the Age of AI

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

  5. AI Policy Template for Colleges and Universities

    A policy structure covering permitted use, restricted use, disclosure, privacy, assessment, and governance.

  6. Faculty Development Program Modules for AI Adoption

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

Teaching material

  1. AI Readiness Checklist for Academic Departments

    A department-level checklist for governance, faculty readiness, assessment, tools, privacy, and review.

  2. AI Tool Evaluation Matrix

    A review matrix for AI tools by purpose, risk, privacy, reliability, cost, and academic fit.

  3. Responsible AI Checklist for Students

    A student-facing checklist for originality, disclosure, verification, privacy, and academic integrity.

  4. Generative AI Classroom Policy Template

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

  5. AI Disclosure Statement Examples

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

Academic session topics

  1. One-Day FDP Blueprint: Generative AI for Faculty

    A four-session FDP structure for responsible Generative AI use in teaching, assessment, and policy.

  2. Agentic AI for Academic Institutions

    A session for colleges and universities preparing for AI agents and workflow-based AI systems.

  3. Responsible AI and Academic Integrity

    A session on AI disclosure, assessment design, originality, and academic integrity.

  4. AI Policy and Governance Workshop

    A workshop for institutions developing practical AI policy, governance, and readiness structures.

  5. Prompt Engineering for Faculty

    A hands-on session on prompt design for teaching, feedback, assessment, and classroom activities.

Related academic records

  1. Session record Generative AI and the Future of Teaching, Learning, and Assessment

    A workshop or invited session on how Generative AI is changing classroom practice, assessment design, feedback, and student learning.

  2. Session record Agentic AI: What Institutions Should Prepare for Next

    A session on AI agents, autonomous workflows, institutional readiness, governance, and future knowledge work.