Dr. Mohd Naved AI in Education and Research

Topic

Generative AI

A curated path through my Generative AI work for faculty, research scholars, and institutions: start with academic adoption, then move into assessment, classroom policy, research workflows, and academic-session options.

Reading path

Use this collection as a sequence: first understand the academic issue, then move to policy, assessment, teaching material, and session options.

  1. Begin with responsible adoption before selecting tools.

  2. Move next to classroom policy, assessment redesign, and faculty prompts.

  3. Use the speaking links if the need is an FDP, invited lecture, or institutional discussion.

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. Generative AI vs Agentic AI: What Institutions Need to Know

    A clear comparison of chat-based AI, generative systems, AI agents, and institutional implications.

  3. Prompt Engineering for Faculty Members

    An academic note on writing prompts that support teaching, assessment, feedback, classroom activities, and faculty productivity without replacing professional judgment.

  4. Faculty Development Program Modules for AI Adoption

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

  5. 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.

  6. One-Day FDP Structure: Generative AI for Teaching and Assessment

    A modular FDP plan for AI literacy, hands-on demonstrations, assessment redesign, and classroom policy.

Teaching material

  1. Faculty Prompt Bank for Teaching and Assessment

    Prompt patterns for lesson planning, rubrics, feedback, MCQs, caselets, discussions, and limitations.

  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. AI for Academic Leaders

    A leadership briefing on AI readiness, faculty development, governance, and institutional direction.

  3. AI-Enabled Teaching, Assessment, and Feedback

    A workshop on using AI to improve teaching preparation, feedback quality, and assessment design.

  4. Agentic AI for Academic Institutions

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

  5. Responsible AI and Academic Integrity

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

Related academic records

  1. Book XAI Based Intelligent Systems for Society 5.0

    Connects explainable AI, intelligent systems, and practical applications for society, education, and institutional decision-making.

  2. Book Generative Adversarial Networks for Image-to-Image Translation

    Connects the website AI material to generative modeling, GAN architectures, and image-to-image translation methods.

  3. 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.

  4. Session record Responsible AI Adoption for Universities, Business Schools, and Faculty Teams

    A session on responsible AI use, academic integrity, classroom policy, governance, and adoption planning.