Adaptive Learning: Personalized Learning Paths in a Learning Management System
Conference Tracks
Online Learning – Research
Abstract
Online education has become a trend in the past few years. However, the effectiveness of online education has sometimes been problematic due to lack of interaction, practical experience, and motivation. Adaptive learning (AL) addresses individual learner's need with a personalized learning path and pace using timely feedback, dynamic resources, and custom activities. AL systems are developed with a specific pedagogical approach or machine learning algorithm, which make it less accessible and less replicable to examine the effectiveness. This study uses an existing learning management system (LMS) to investigate the effectiveness of AL in online STEM courses at college level.
Session Format
Presentation
1
Publication Type and Release Option
Image (Open Access)
Recommended Citation
Jin, Sicheng and Branch, Rob, "Adaptive Learning: Personalized Learning Paths in a Learning Management System" (2022). SoTL Commons Conference. 68.
https://digitalcommons.georgiasouthern.edu/sotlcommons/SoTL/2022/68
Adaptive Learning: Personalized Learning Paths in a Learning Management System
Online education has become a trend in the past few years. However, the effectiveness of online education has sometimes been problematic due to lack of interaction, practical experience, and motivation. Adaptive learning (AL) addresses individual learner's need with a personalized learning path and pace using timely feedback, dynamic resources, and custom activities. AL systems are developed with a specific pedagogical approach or machine learning algorithm, which make it less accessible and less replicable to examine the effectiveness. This study uses an existing learning management system (LMS) to investigate the effectiveness of AL in online STEM courses at college level.
