Creative & Technical Production

Mastering Gemini Notebook for Career Success

In this activity, students will build a tailored professional knowledge base using Gemini Notebook and apply human-centered AI prompting techniques to generate personalized cover letters and targeted interview preparation materials that authentically reflect their unique qualifications. The activity addresses the tendency of job-seeking students to generate generic, hallucinated, or robotic application materials by teaching them how to restrict the AI to vetted primary sources and run active self-auditing passes.

Sport Governance Policy Brief

As the major written assignment in SPM 5605: Sport Governance, students complete a Sport Governance Policy Brief at the end of the semester (Appendix A in Canvas). To scaffold student learning and support the development of this assignment, three AI-supported activities will be incorporated throughout the semester. These activities are intended to assist students at different stages of the writing process and enhance their ability to develop, refine, and communicate policy recommendations effectively (Appendix B in Canvas). 

Visual Prompting: AI-Generated Geotechnical Visualizations

This AI activity uses Gemini Gems to help students generate and refine AI prompts that create accurate visual illustrations of complex geotechnical engineering concepts, such as lateral earth pressure and retaining wall systems. Students evaluate and improve the AI-generated illustrations using engineering principles, strengthening their understanding of complex concepts while developing AI literacy, prompt engineering, critical thinking, and visual communication skills. 

Case Study Discussion Facilitation

Students enrolled in the Evaluation of Training in Human Performance Technology course form groups to lead an instructional session on a real case from the textbook, learning to apply human performance evaluation concepts in authentic organizational contexts. This Spark helps students synthesize source materials and iteratively create multi-modal learning artifacts to support their student-led online class discussions.