Managing a Deteriorating Patient: How Medical Students' Self-Regulated Learning and Emotions Predict Cognitive Load

• In Event: Self-Regulated Learning: Applications Across Domains

Abstract

Previous studies have probed the potential association between Self-Regulated Learning (SRL), emotions and cognitive load; however, little is known about how SRL and emotions predict cognitive load (i.e., mental load and mental effort). This research aims to examine the predictive relationship between SRL, achievement emotions, and cognitive load. Twenty-seven fourth-year medical students learned to manage deteriorating patients in a simulation training called Deteriorating Patient Activity (DPA). Students' emotions were collected via the Medical Education Emotion Scale, self-regulated learning was coded from dialogues, and cognitive load was analyzed by a text mining program--LIWC. We found that metacognitive planning and negative deactivating emotions positively predicted mental load; metacognitive monitoring positively predicted mental effort.

Authors

• Chengyi Tan, McGill University
  Presenting Author

• Tingting Wang, McGill University
  Non-Presenting Author

• Xiaoshan Huang, McGill University
  Non-Presenting Author

• Susanne P. Lajoie, McGill University
  Non-Presenting Author

• Jeffrey Wiseman, McGill University
  Non-Presenting Author