Using an Artificial Intelligence (AI) Agent to Support Teacher Instruction and Student Learning

Authors

DOI:

https://doi.org/10.33043/d8xb94q7

Keywords:

Teacher Education, artificial intelligence, computer science, special education, biometric, disability, AI-agent

Abstract

The options for Artificial intelligence (AI) tools used in teacher education are increasing daily, but more is only sometimes better for teachers working in already complex classroom settings. This team discusses the increase of AI in schools and provides an example from administrators, teacher educators, and computer scientists of an AI virtual agent and the research to support student learning and teachers in classroom settings. The authors discuss the creation and potential of virtual characters in elementary classrooms, combined with biometrics and facial emotional recognition, which in this study has impacted student learning and offered support to the teacher. The researchers share the development of the AI agent, the lessons learned, the integration of biometrics and facial tracking, and how teachers use this emerging form of AI both in classroom-based center activities and to support students’ emotional regulation. The authors conclude by describing the application of this type of support in teacher preparation programs and a vision of the future of using AI agents in instruction.

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Author Biographies

Rebecca Hines, University of Central Florida

Associate Professor in Special Education. Dr. Hines leads several doctoral and technology-related grants.  She specializes in inclusion, collaboration, behavior, and technology.

Ilene Wilkins, UCP of Central Florida

Dr. Wilkins has been the CEO/Superintendent of UCP of Central Florida for the past 26 years and has over 30 years of experience working with students with and without disabilities and their families in multiple states and in educational and non-profit organizations.

Charles Hughes, University of Central Florida

Dr. Hughes is a Pegasus Professor of Computer Science at the University of Central Florida (UCF) whose research focuses on virtual learning environments. He is the Co-Lead of the Learning Sciences Cluster, Co-Director of the Synthetic Reality Laboratory (SREAL), and Co-Director of the Center for Research in Education Simulation Technology (CREST). He has secondary appointments in Electrical and Computer Engineering, the School of Modeling, Simulation & Training, the College of Community Innovation & Education, and the Department of Games & Interactive Media. 

Karyn Hawkins Scott, UCP of Central Florida

Dr. Scott is the Director of Curriculum and past Principal of UCP of Central Florida 

Shaunn Smith, UCP of Central Florida

Dr. Smith is the Project Director for Project RAISE at UCP of Central Florida. Dr. Smith has extensive experience in teaching in innovative online formats. 

Kathleen Ingraham, University of Central Florida

Dr. Ingraham has a Ph.D. in instructional design and serves as the Program Director for the Center for Research in Education Simulation Technology (CREST). Her expertise is in developing scenarios and directing digital performance for simulated training. 

Kamran Ali, University of Central Florida

Dr. Ali is a Postdoctoral Scholar at the University of Central Florida, and his areas of expertise include deep learning, computer vision, generative models, and multi-modal representation learning. 

Tiffanie Zaugg, University of Central Florida

Tiffanie Zaugg is a doctoral candidate at the University of Central Florida and prior to that she was a special education and technology consultant in Iowa. Her expertise focuses on artificial intelligence and the use chatbots in teacher education. 

Sachin Shah, University of Maryland

Sachin Shah is a Ph.D. student in computer science at the University of Maryland, College Park. His research interests include computational imaging, machine learning, and computer graphics.

Published

09/02/2024

How to Cite

Dieker, L., Hines, R., Wilkins, I., Hughes, C., Hawkins Scott, K., Smith, S., … Shah, S. (2024). Using an Artificial Intelligence (AI) Agent to Support Teacher Instruction and Student Learning. Journal of Special Education Preparation, 4(2), 78–88. https://doi.org/10.33043/d8xb94q7

Issue

Section

Special Issue on Artificial Intelligence