General Information
Details
David's research focuses on online education and learning at scale, especially as they intersect with for-credit offerings at the graduate and undergraduate levels. His emphasis is on designing learning experiences that leverage the opportunities of online learning to compensate for the loss of synchronous collocated class time. This includes leveraging artificial intelligence for student support and assignment evaluation, facilitating student communities in large online classes, and investigating strategies for maintainable and interactive presentation of online instructional material.
David teaches Introduction to Computing, Educational Technology, Human-Computer Interaction, Knowledge-Based AI, and Machine Learning for Trading. His teaching interests are in education, computing, and HCI.
Eicher, B. L & Joyner, D. A. (2025). Gaining the Strength to Go Alone: Educational Philosophy in Hyrule. In Cuddy, L (ed.) The Legend of Zelda and Philosophy: Link Outside the Box, 65–74. Taylor & Francis.
Soylu, M. Y., Lee, J., Hung, J., Cui, C. Z. & Joyner, D. A. (2025). AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind. To appear in Interactive Learning Environments.
Joyner, D. A. & Duncan, A. S. (2025). Unpacking Application Growth in an At-Scale Graduate CS Program. In Proceedings of the Twelfth ACM Conference on Learning @ Scale.
Joyner, D. A., Perez Irizarry, G., Eicher, B., & Lytle, N. (2024). Intelligent Feedback and Evaluation for the Assessment and Improvement of Student Peer Reviews. In Proceedings of the 2024 IEEE Digital Education & MOOCs Conference.
Oakley, B., Aristizabal Pineda, P. M., Joyner, D. A., Rogowsky, B. & Sejnowski, T. (2024). Uncommon Sense Teaching: A 3-Course Online Specialization on the Coursera Platform to Share Advances in Effective Teaching. International Journal of Advanced Corporate Learning 17(1), 40–60.