Motivation and emotion predict medical students’ attention to computer-based feedback

• DOI: 10.1007/s10459-017-9806-x
• Publication Date: 2017-12-14T08:53:21Z
• Authors: Laura M. Naismith; Susanne P. Lajoie
• Keywords: Adult; Male; Motivation; Academic Success; Students, Medical; Formative Feedback; Clinical Decision-Making; Emotions; 02 engineering and technology; 16. Peace & justice; Young Adult; 03 medical and health sciences; Logistic Models; 0302 clinical medicine; 0202 electrical engineering, electronic engineering, information engineering; Humans; Female; Computer-Assisted Instruction

Students cannot learn from feedback unless they pay attention to it. This study investigated relationships between the personal factors of achievement goal orientations, achievement emotions, and attention to feedback in BioWorld, a computer environment for learning clinical reasoning. Novice medical students (N = 28) completed questionnaires to measure their achievement goal orientations and then thought aloud while solving three endocrinology patient cases and reviewing corresponding expert solutions. Questionnaires administered after each case measured participants' experiences of five feedback emotions: pride, relief, joy, shame, and anger. Attention to individual text segments of the expert solutions was modelled using logistic regression and the method of generalized estimating equations. Participants did not attend to all of the feedback that was available to them. Performance-avoidance goals and shame positively predicted attention to feedback, and performance-approach goals and relief negatively predicted attention to feedback. Aspects of how the feedback was displayed also influenced participants' attention. Findings are discussed in terms of their implications for educational theory as well as the design and use of computer learning environments in medical education.