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. Assessment Redesign Worksheet

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

  3. FDP Planning Template

    A planning template for one-day or multi-session FDPs on Generative AI, teaching, assessment, and responsible adoption.

  4. AI Tool Evaluation Matrix

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

  5. Responsible AI Checklist for Students

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

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. Prompt Engineering for Faculty

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

  3. AI for Academic Leaders

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

  4. AI-Enabled Teaching, Assessment, and Feedback

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

  5. Agentic AI for Academic Institutions

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

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.