Strategy Description
This entry describes a strategy to enhance student engagement in asynchronous online courses by embedding AI-generated quizzes into instructional videos. Using ChatGPT and video transcripts, the instructor created targeted multiple-choice questions that aligned with key video topics and improved interactivity. Results from the CGN5341 course showed increased video view duration, higher engagement, and positive student feedback on the usefulness of short, segmented videos with embedded quizzes.
About the Author
Dr. Efren de la Mora is an instructional designer at CDL-UCF. He graduated with a bachelor’s in information systems and a master’s in learning technologies at the University of Guadalajara, Mexico. Efren earned a doctoral degree in education with a specialization in instructional design and technology from UCF. From 2020 to 2022, he served as a postdoctoral scholar at Rosen College of Hospitality Management conducting research and designing instruction/curriculum. His research interests include multimedia learning, learners’ creativity, innovation, entrepreneurship, motivation, and engagement. Efren’s research works have been published in multiple journals, including Educational Technology, Research, and Development, Journal of Formative Designs in Learning, Psychology of Music, and the International Journal of Hospitality Management.
Shaurya Agarwal is currently (2024-present) an Associate Professor in the Civil, Environmental, and Construction Engineering Department at the University of Central Florida. He joined UCF in 2018 as an assistant professor and key member of the Future City Initiative. He is the founding director of the Urban Intelligence and Smart City (URBANITY) Lab and currently serves as the director of Future City Initiative.He was previously (2016-18) an Assistant Professor in the Electrical and Computer Engineering Department at California State University, Los Angeles. He completed his post-doctoral research at New York University (2016) and his Ph.D. in Electrical Engineering from the University of Nevada, Las Vegas (2015). His B.Tech. degree is in Electronics and Communication Engineering from the Indian Institute of Technology (IIT), Guwahati. His research focuses on interdisciplinary areas of cyber-physical systems, smart and connected transportation, and connected and autonomous vehicles. Passionate about cross-disciplinary research, he integrates control theory, information science, data-driven techniques, and mathematical modeling in his work. He has published one book, over 35 peer-reviewed publications, and multiple conference papers. His work has been funded by several private and government agencies including Oculus, FHWA, and FDOT. He is a senior member of IEEE and serves as an associate editor of IEEE Transactions on Intelligent Transportation Systems.
Date Created
5-3-2025
Pedagogical Category
Interaction
Rights
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
de la Mora Velasco, Efren and Agarwal, Shaurya, "Using Generative AI to Enrich Instructional Videos with Embedded Quizzes" (2025). Teaching Online Pedagogical Repository. 9.
https://stars.library.ucf.edu/topr/9
Instructional Video Screenshot
Fig. 2 Embbeded quiz screenshot.png (51 kB)
Embedded Quiz Screenshot
Fig. 3 Video and learning data.png (111 kB)
Video and Learning Data