Topic

AI in Education

A teaching-focused collection on AI-enabled education, including assessment redesign, academic integrity, faculty development, classroom policy, and institutional readiness.

Reading path

Begin with learning outcomes and assessment risk. Tool use should come after the academic purpose is clear.

  1. Start with teaching purpose, student expectations, and assessment design.

  2. Use tools only after clarifying learning outcomes and disclosure rules.

  3. Review faculty, student, and institutional resources together.

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. AI Disclosure Statement Examples for Students and Researchers

    Reusable examples for explaining how AI tools were used in assignments, drafts, research workflows, and academic writing.

Teaching material

  1. AI Readiness Checklist for Academic Departments

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

  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.

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.

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