Designing Personalized Adaptive Learning Courses at the University of Central Florida

Published:
Briefs, Case Studies, Papers, Reports
Author(s) and Contributors:
Author(s): Kathleen Bastedo Baiyun Chen Debbie Kirkley Corrinne Stull Jessica Tojo
Source(s) and Collection(s):
Sources(s): EDUCAUSE Learning Initiative (ELI) Collection(s): ELI Briefs
ParentTopics:
Assessment and Evaluation Change Management Digital Learning Faculty Development Instructional Design Instructional Technologies Learning Analytics Student Experience Student Technology Use

Abstract

Adaptive learning technologies are emerging as an effective way to promote access and quality at a large scale in education. Enabled by machine learning, these technologies can provide each student with a personalized learning experience that helps accelerate a learner’s performance while adapting to his or her needs and skill sets in real time. From a pilot program, the University of Central Florida (UCF) has learned important lessons about how courses, faculty, and students change with adaptive learning. 

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