Lightning Talks are 15-minute peer-reviewed mini-sessions to learn about creative teaching ideas that colleagues have implemented. The talks are designed to provide brief introductions and explanations of the idea followed by a question and answer period. Talks are presented multiple times, providing participants the opportunity to hear multiple presentations.

Topics for this year’s lightning talks include:

Table 1: Video Killed the Multiple Choice Exam: Integrating Videos into Examinations

Michael O’Hara, Health and Rehabilitation Sciences, Temple University

Trish Crane, Health and Rehabilitation Sciences, Temple University

William Egan, Health and Rehabilitation Sciences, Temple University

In this lightning talk, participants will learn how to best integrate video-based multiple-choice questions into course quizzes and examinations.

Table 2: Harnessing the Generative Power of ChatGPT in Evidence-based Education

Laura Baehr, Health and Rehabilitation Sciences, Temple University

Shivayogi V. Hiremath, Health and Rehabilitation Sciences, Temple University

This talk will describe the use of ChatGPT to help refine research questions created by Doctor of Physical Therapy students during an evidence-based practice course

Table 3: Deepfake Tricks for Good? Teaching Bigger Conversations About AI

Eryn Travis, Communication and Media, West Chester University

Instructors should expand AI teaching to boost both critical thinking and career readiness. Orange’s 2023 Women’s World Cup ad prompts discussions on AI’s ethics, representation, and societal impact.

Table 4: IF-AT First You Don’t Succeed, Scratch, Scratch Again

Michelle McGowan, Biology, Temple University

Immediate Feedback Assessment Technique (IF-AT) enables students to identify knowledge gaps and misconceptions in real-time. It promotes team-based collaborative learning and enhanced retention.

Table 5: Just Noise? Deconstructing AI Images from Text

Lorenzo Rinelli, Social Sciences, Temple University Rome

This lightening talk will explore the possibilities of a new teaching activity to discuss the intricacies between Ai-generated images from text with issues of race, gender, and class. Because these models generated by the AI pull from human-made works scavenged in internet, they can reinforce existing bias based on age, class, race and gender.

Table 6: Syncing Low-Stakes Digital Participation Poll Assessments to LMS Gradebooks

Ryan McKee, Social and Behavioral Science, Public Health, Temple University

Jennifer Vaughn, EdTech Student Partner, CAT, Temple University

In this Lightning Talk, low-stakes digital polling assessments will be discussed, and participants will learn how to synchronize results to their LMS gradebooks.

Session Materials

Table 7: Can AI Write My Research Report?

Jennifer Freeman, Advertising and Public Relations, Temple University

This lightning talk reviews an assignment where students compare generative AI results with data from syndicated research sources. What is more accurate and useful?

Table 8: Mapping Futures: Empowering Students and Communities through OpenStreetMap and GIS

Felipe Valdez, Libraries, Temple University

Unlocking community engagement through OpenStreetMap and GIS in education. Explore impactful projects, benefits, and practical tips for empowering students and fostering local connections using maps and data

Session Materials

Table 9: Lights, Camera, Action: Collaborating with Student Actors to Conduct a Simulation Exercise

Divita Singh, Pharmacy Practice, Temple University

Margaret Miklich, Pharmacy Practice, Temple University

Amina Robinson, Theater, Film and Media Arts, Temple University

We will share the process of designing a collaborative pharmacy-theater student simulation activity which can help programs lacking physical or financial access to simulation centers.

Table 10: “Brain Art”: A Key Tool for Learners

Debbi Casey, Management, Fox School of Business, Temple University 

Karly Conner, HR Assistant Systems Administrator, Temple University 

We will learn how to guide our students to make “Brain Art” so they actively create visual representations and better understand new material.

Table 11: AI-Powered Teaching and Learning: Scripts for Video Lectures

Dasanj Aberdeen, Engineering, Temple University

This lightning talk explores Teaching and Learning in the Age of Generative Artificial Intelligence (GAI), using the technology to create scripts for engaging video lectures.

Table 12: A Survey of AI/ChatGPT in an ESL FYW Writing Course

Eunsook Rhee, English, First Year Writing, Temple University