Academic Notes

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.

Using AI for Literature Reviews without Weakening Research Quality
A responsible workflow for search planning, synthesis, note-taking, verification, and academic writing support.
A Faculty Framework for Using AI in Teaching, Assessment, and Feedback
A teaching-centered framework for course redesign, feedback, assessment integrity, and responsible classroom guidance.
Agentic AI: What Universities and Business Schools Need to Understand
A readiness note for AI agents, autonomous workflows, and future academic skill gaps.
Generative AI in Higher Education: Responsible Adoption Beyond the Hype
A roadmap for AI literacy, classroom use, assessment redesign, disclosure, and institutional readiness.
AI for Research and Academic Writing: A Workflow Guide
A responsible workflow for literature exploration, research framing, drafting support, and publication preparation.
Agentic AI Explained for Educators and Researchers
A clear explanation of AI agents, tool use, workflows, risks, and meaningful academic applications.
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.