Emotion Profiles: The Importance of Emotions During Learning With a Multiagent Hypermedia Learning Environment

• In Event: Examinations of Emotions in Technology-Based Learning Environments

Abstract

The present study investigated the relation between emotions and self-regulated learning (SRL) during learning with MetaTutor (Azevedo et al., 2013), an intelligent tutoring system (ITS), by using emotion profiles. Based on findings that emphasize the importance of multiple emotions during learning (e.g. D’Mello et al., 2014) participants (N = 127) were clustered based on their self-reported emotions and compared in regards to their learning gains and ability to regulate emotions. Results indicated that a specific group of participants that showed high levels of negative emotions and low emotion regulation skills learned the least during the 90-minute learning session, indicating the significance of emotions during self-regulated learning. Implications for the design and development of advanced learning technologies (ALTs) are briefly discussed.

Authors

• Franz Wortha, Technische Universitaet Dresden

• Roger Azevedo, North Carolina State University

• Michelle Taub, North Carolina State University

• Nicholas Vincent Mudrick, North Carolina State University

• Seth A. Martin, North Carolina State University

• Garrett C. Millar, North Carolina State University

• Susanne Narciss, Technische Universitaet Dresden