Automated Environment for Individually Optimized Learning Experiences

Authors

Jon Wade, Department of Mechanical and Aerospace Engineering
Jace Hargis, Kean University
Richard Gessner, University of California, San Diego

Document Type

Conference Proceeding

Publication Date

1-1-2022

Abstract

This is a work-in-progress paper that describes research involving the development and use of technology to create social real-time learning experiences. This technology can provide rapid feedback between students and instructors, enabling the ability to make real-time data-driven decisions to automatically inform and individualize instruction. This paper discusses research being conducted in the following five supporting major areas: 1) Learning Assessment and Tracing, 2) Learning Outcome and Concept Dependencies, 3) Pre-Learning Intervention, 4) In-Process Learning Intervention, and 5) Future Learning Intervention using a learning environment called SlideSpace that has served as a living laboratory for experiments into human interactions.

Publication Title

Proceedings - Frontiers in Education Conference, FIE

DOI

10.1109/FIE56618.2022.9962539

Recommended Citation

Wade, Jon; Hargis, Jace; and Gessner, Richard, "Automated Environment for Individually Optimized Learning Experiences" (2022). Kean Publications. 699.
https://digitalcommons.kean.edu/keanpublications/699