Cluster Leads:
Technology is constantly changing and so is the way we use it to learn. UCF’s Learning Sciences cluster not only develops new technology to improve learning outcomes but also explores how we interact with and learn using machines.
Unlocking the human potential within every learner will result in harnessing intellectual capital for solving society’s most challenging problems and saving billions of dollars.
This cluster focuses on how people learn across their lifespan in formal and informal settings and leverages theory, research and applied knowledge from the fields of education, cognitive psychology, computer science, philosophy and design.
UCF Learning Sciences Co-Lead, Roger Azevedo, served as a guest presenter on the College of Engineering and Computer Science’s Virtual Faculty Research Talk, held on February 5th, 2021.
UCF Colleges Involved with Learning Sciences Research:
Learning Sciences Research
Projects
Publications
- “Integrating Representation and Imitation in Reinforcement Learning for Mobile User Profiling: An Adversarial Training Perspective”, Charlie Hughes, Ph.D., Yanjie Fu, Ph.D., Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Feb, 2021
- “Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges”, Roger Azevedo, Ph.D., Computers in Human Behavior , 96, 207-210: May, 2019
- Self-regulation in computer-assisted learning systems, Roger Azevedo, Ph.D., Michelle Taub, Ph.D.: Handbook of cognition and education (pp. 587-618) Cambridge University Press, 2019
- “The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment”, Michelle Taub, Ph.D., Roger Azevedo, Ph.D., Computers & Education 147: Dec, 2019
- “Circle of trust: A new approach to mobile online safety for families”, Charlie Hughes, Ph.D., CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Pages 1-14: Apr, 2020
- “Using digital puppetry to prepare physicians to address non-suicidal self-injury among teens”, Charlie Hughes, Ph.D., Lisa A. Dieker, Ph.D., Lecture Notes in Computer Science vol 11572, 555-568: Jul, 2019
Learning Sciences Degree Programs
The Learning Sciences track in the Education PhD program will expose students to key components of research on learning with training on using big data for research on learning analytics and data science for focus on learning for humans and machines. For more programs, search UCF programs below.
Learning Sciences Faculty
-
Roger Azevedo, Ph.D.
Professor of Learning Sciences and Educational Research -
Charlie Hughes, Ph.D.
Pegasus Professor of Computer Science -
Yanjie Fu, Ph.D.
Assistant Professor of Computer Science -
Johnathan Mell, Ph.D.
Assistant Professor of Computer Science -
Michelle Taub, Ph.D.
Assistant Professor of Learning Sciences and Educational Research -
Malcolm B. Butler, Ph.D.
Professor of Teacher Education -
Lisa A. Dieker, Ph.D.
Pegasus Professor of Exceptional Student Education -
Ivan Garibay, Ph.D.
Assistant Professor of Industrial Engineering and Management Systems -
Maria Harrington, Ph.D.
Assistant Professor of Digital Media -
Matthew Marino, Ph.D.
Associate Professor of Exceptional Student Education -
Megan Nickels, Ph.D.
Assistant Professor of Mathematics Education -
Ben Noel
Executive Director, Florida Interactive Entertainment Academy -
Erik Sand
Director of Strategic Partnerships, Florida Interactive Entertainment Academy -
Eleazar Vasquez, Ph.D.
Associate Professor of Exceptional Student Education -
Annie Wu, Ph.D.
Associate Professor of Computer Science -
Shibu Yooseph, Ph.D.
Professor of Computer Science -
Vassiliki “Vicky” I. Zygouris-Coe, Ph.D.
Professor of Reading Education