Artificial Intelligence-based Learner’s Motivation Detection in Problem-Based Learning (PBL)

• In Event: Learning Analytics

Short Description

Motivation enables effective learning, which directly affects academic achievement. Among several instructional approaches, PBL may help to promote motivation due to the given authentic and ill-structured tasks as well as self-directed and collaborative learning. For more accurate measurement of motivation in PBL, this proposal suggested and validated the use of artificial intelligence for real-time detection of learner’s motivation, which can be informed by the analysis of learner’s emotions using seven categories.

Authors

• Contributor: Nam Ju Kim, University of Miami

• Presenter: Dimitris Timpilis, University of Miami

• Contributor: Cristiane R. Vicentini, University of Miami