Revealing the Hidden Structure of Affective States During Emotion Regulation in Synchronous Online Collaborative Learning

• DOI: 10.24251/hicss.2023.004
• Publication Date: 2024-02-16T15:38:35Z
• Authors: Belle Dang; Andy Nguyen; Yvonne Hong; Bich-Phuong Thi N...; Bao-Nhi Dang Tran
• Keywords: socially shared regulation; computer-supported collaborative learning; emotion regulation; hidden markov model; 370; 150; facial expression recognition; Advances in Teaching and Learning Technologies

This study aims to explore the use of advanced technologies such as artificial intelligence (AI) reveal learners' emotion regulation. In particular, this attempts discover hidden structure affective states associated with facial expression during challenges, interactions, and strategies for regulation in context synchronous online collaborative learning. The participants consist 18 higher education students (N=18) who collaboratively worked groups. Hidden Markov Model (HMM) results indicated interesting transition patterns latent state provided insights into how learners engage process. demonstrates a new opportunity theoretical methodology advancement exploration AI researching socially shared