Student AI Toolkit: Learning, Ethics & Applications
Generative AI is transforming how we research, write, and study. However, using these tools effectively requires more than just typing in a prompt, it requires true AI Literacy. Used strategically, AI can act as an on-demand study partner, brainstorm catalyst, and skill-building coach. Used carelessly, it can hinder your learning, compromise critical thinking, and risk your academic standing.
This guide provides actionable frameworks, campus-approved tools, and clear guardrails to help you navigate the ethical boundaries of AI use, audit and fact-check outputs, and elevate your coursework without compromising your academic integrity at UW-Madison.
Campus Approved GenAI Tools
Gemini Notebook
Gemini
CoPilot
Essential AI Skills & Frameworks
Mastering AI for academic success requires moving beyond simple queries to strategic usage. This section provides core frameworks to help you evaluate ethical boundaries, adopt active study strategies, fact-check outputs, and cite generative models properly in your coursework.
A practical guide centering on three core principles: using tools critically to enhance rather than replace thinking, providing clear attribution for AI assistance, and rigorously verifying all outputs for accuracy.
What’s Inside: Features actionable “self-check” questions and simple templates to keep your own understanding at the center of the learning process.
Written by Wharton professors Ethan and Lilach Mollick for Harvard Business Publishing, this 5-part series provides educators and students with concrete frameworks to turn AI into an active study partner. While designed to help instructors structure AI exercises in the classroom, the guide doubles as a self-directed toolkit for students looking to take full control of their own learning.
What’s Inside:Â
Core Guardrails: Essential rules on navigating AI fabrications, addressing subtle algorithmic bias, and maintaining data privacy.
Interactive Role-Play Prompts: Ready-to-use prompts that position AI as a Personal Tutor (asking leading questions), Feedback Generator (critiquing essay drafts), Team Coach (facilitating group work), or Learner (where the student teaches the AI to test their own mastery).
- Read the article
Generative models can produce convincing hallucinations. This guide provides actionable strategies for auditing AI claims across academic and business disciplines.
What’s Inside: Learn the 3–2–1 Rule for quick accuracy tests and access a directory of trusted databases for cross-referencing statistics, citations, and industry theories.
Proper attribution is mandatory when using AI assistance in university coursework. Use these official style guides to format in-text citations and reference lists correctly.
Built by UW–Madison librarians, this comprehensive research guide offers a campus-specific roadmap for integrating generative AI into academic research and learning.
What’s inside: Provides a comprehensive roadmap for navigating the research process with generative AI, offering practical advice on everything from finding credible sources to understanding the ethics of AI-assisted scholarship.
Organize & Synthesize with Gemini Notebook
Study Strategically
Working with Course Notebooks
If your instructor shared a Google Gemini Notebook link for your course, you have direct access to a custom, AI-powered learning environment grounded in your class materials. From exploring assigned readings to querying lecture topics, course notebooks help you master complex subjects while staying aligned with course goals. Watch the short walkthrough video below to learn how to open, navigate, and get the most out of your shared notebook this semester.