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Faculty Research Clusters

Learning Sciences

Cluster Lead:

Pegasus Professor in the School of Modeling Simulation and Training Roger.Azevedo@ucf.edu

Technology is constantly changing and so is the way we use it to learn. Â鶹ӳ»­´«Ã½â€™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, educational psychology, learning sciences, cognitive psychology, human factors, computer science, engineering, learning analytics, Artificial Intelligence, philosophy and design.

Congratulations Dr. Roger Azevedo!
Dr. Azevedo has been named as a 2025 Fellow of the American Educational Research Association (AERA)! The AERA Fellows Program honors scholars for their exceptional contributions to, and excellence in, education research. Nominated by their peers, the 2025 Fellows were selected by the Fellows Committee and approved by the AERA Council, the association’s elected governing body. See the official AERA press release here:

Â鶹ӳ»­´«Ã½ Colleges Involved with Learning Sciences Research:

In The News

New Â鶹ӳ»­´«Ã½ Project is Harnessing Virtual Reality to Teach Quantum Computing
The multi-institutional work is funded by a nearly $1 million grant from the U.S. National Science Foundation.

Learning Sciences Research

Projects

MetaSim: Developing and Assessing Metacognitive Skills using Simulated Learners during Complex Problem Solving in an Interactive Learning Environment

CAREER: Reinforced Imitative Graph Learning: Bridging the Gap between Perception and Prescription in Graph Sequences

EAGER: SaTC: EDU: Improving cybersecurity education for adolescents with autism through automated augmented self-monitoring applications

RAISE: Robots and Artificial Intelligence to Improve Social Skills for Elementary Students

Symbiosis: The Center for Augmented Intelligent Human-Machine Symbiosis for Solving Societal Grand Challenges

Retraining Built Environment Retrofitting Problem Solving Skills with Augmented Reality

Simulated Practice: Using Socially-Responsive Avatars to Prepare STEM GTAs for Student-Centered Instruction

Examining the Use of Self-Regulatory Processes During Game-Based Learning Among Students

Tablecraft, A Next Generation Introductory STEM Platform

Investigating the Impact of Emotions and Metacognitive Awareness On Writing

STEM Teachers’ Capacity to Teach Self-Regulated Learning: Effectiveness of Extended Reality

TeachLivE: Teaching and Learning in a Virtual Environment

Detection and remediation of scientific misconceptions using systems thinking approaches in an interactive simulation of infectious disease

Collaborative Research: IGE: Track1: Caselet: Deliberate Practice with Scalable Case-based Learning to Enhance Data Science Problem Solving Competency

Publications

  • , , , François Bouchet, Ph.D., Melissa Duffy, Ph.D., Jason Harley, Ph.D., Gregory Trevors, Ph.D., Elizabeth Cloude, Ph.D., Daryn Dever, Ph.D., Megan Wiedbusch, Ph.D., Franz Wortha, Ph.D., Rebeca Cerezo, Ph.D., Frontiers in Psychology 13:813632: Jun, 2022
  • , , , New Directions in Teaching and Learning 25-32: Jun, 2023
  • , , Daryn A. Dever, Ph.D., Nathan A. Sonnenfeld, Ph.D., Megan D. Wiedbusch, Ph.D., S. Grace Schmorrow, Ph.D., Metacognition & Learning: May, 2023
  • , , Daryn A. Dever, Ph.D., Hana Vrzáková, Ph.D., Megan D. Wiedbusch, Ph.D., Elizabeth B. Cloude, Ph.D., Frontiers in Psychology 13:813677: May, 2022
  • , , Lisa A. Dieker, Ph.D., Eileen M. Glavey, Ph.D., Rebecca A. Hines, Ph.D., Ilene Wilkins, Ph.D., Kathleen Ingraham, Ph.D., Caitlyn A. Bukaty, Ph.D., Kamran Ali, Ph.D., Sachin Shah, Ph.D., John Murphy, Ph.D., Matthew S. Taylor, Ph.D., Frontiers in Virtual Reality: Virtual Reality and Human Behaviors 3:968312: Oct, 2022
  • , , Kamran Ali, Ph.D., Sachin Shah, Ph.D., Sensors 23(14), 6572: Jul, 2023
  • , , Sachin Shah, Ph.D., Kamran Ali, Ph.D., Lisa Dieker, Ph.D., IEEE Computer Graphics & Applications EEE Computer Graphics and Applications 43(3), 54-60: May, 2023
  • , , Dongjie Wang, Ph.D., Pengyang Wang, Ph.D., Yanjie Fu, Ph.D., Kunpeng Liu, Ph.D., Hui Xiong, Ph.D., IEEE Transactions on Knowledge and Data Engineering 1-13: May, 2023

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 Â鶹ӳ»­´«Ã½ programs below.

Programs

Learning Sciences Faculty