Al Sparks Catalog | Office of Digital Learning

A collection of Al-based learning activities for instructors

Welcome to the Al Sparks Catalog, a collection of AI-based learning activities available to any instructor interested in integrating applied AI learning and literacy in their courses. If you have been searching for practical ways to prepare your students for the rapid advancement of AI technologies and their role in the workforce, this catalog offers a bootstrapped approach to cultivating a responsible, ethical AI skill set. All AI Spark learning activities are ready to use in Canvas and adaptable to a variety of academic disciplines. Representing the work of over 25 Florida State University faculty from more than 20 academic disciplines, each AI Spark features a micro-training that improves student comprehension of AI concepts, tools, and applications. Browse the catalog below to learn more about each AI Spark and see the AI Sparks webpage for information about the program behind the catalog.

Featured Tools

Featured Skills

Featured Disciplines

AI Stress Reliever Analysis: Experience, Evidence & Evaluation

Laurie Lawrence, Ph.D.

College of Applied Studies

Students research and test multiple stress-management strategies, then evaluate differences between their personal choices for most effective methods and AI recommendations on the same topic.

AI Use Socratic Auditor

John L. Crow, Ph.D.

College of Arts and Sciences

Students engage in a dialogue with an AI agent that guides them through personal reflection about their AI usage and its negative personal impacts.

AI: Your Study Partner, Not Your Shortcut

Christina Hanna, M.S.

Division of Undergraduate Studies

Students build AI literacy by exploring ethical, AI-assisted study habits and ways to build and retain long-term knowledge instead of turning to AI-generated coursework.

Case Study Discussion Facilitation

Gi Woong Choi, Ph.D.

Anne Spencer Daves College of Education, Health, and Human Sciences

Students working in groups prepare to lead an online class session about a textbook case study, using AI to explore strategies to spur peer discussion.

Cultural Challenges and Best Practice Responses

Tom Taylor, Ph.D.

College of Social Sciences and Public Policy

International affairs students investigate complex global social change issues by contrasting open-web AI searches against source-grounded Gemini Notebook analyses to develop culturally competent leadership interventions.

Forecasting with Generative AI: Pros and Cons

Timothy (Campbell) Clarkson, Ph.D.

Herbert Wertheim College of Business

Marketing analytics students solve time-series demand forecasting problems through prompt-driven spreadsheet manipulation in Gemini, uncovering where AI accelerates workflows and where complete reliance creates business friction.

From Tokens to Transformers: LLM Foundations Tutor

Ravikumar Gelli, Ph.D.

FAMU-FSU College of Engineering

Students identify knowledge gaps in their understanding of Large Language Models (LLM) with an AI tutor, working to explain complex concepts in their own words.

Keplerian Gravity Tutor

Massimo Marengo, Ph.D.

College of Arts and Sciences

Students use an AI tutor to improve reasoning skills, solve physics homework problems, and move away from reliance on AI tools for easy solutions.

Listening Journal Entry: A Beginning

Laura Gayle Green, M.L.S.

College of Music

Students document their formal and informal music listening, following AI prompts that spur deeper reflection, and lay groundwork for future research.

Literature Exploration Tool - Service Dominant Logic

Harrison B. Pugh, Ph.D.

Herbert Wertheim College of Business

Students move past textbook memorization of complex marketing theory with an AI that breaks down foundational questions before drilling students on core Knowledge.