Showing Academic Performance Predictions during Term Planning: Effects on Students’ Decisions, Behaviors, and Preferences - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Showing Academic Performance Predictions during Term Planning: Effects on Students’ Decisions, Behaviors, and Preferences

Résumé

Course selection is a crucial activity for students as it directly impacts their workload and performance. It is also time-consuming, prone to subjectivity, and often carried out based on incomplete information. This task can, nevertheless, be assisted with computational tools, for instance, by predicting performance based on historical data. We investigate the effects of showing grade predictions to students through an interactive visualization tool. A qualitative study suggests that in the presence of predictions, students may focus too much on maximizing their performance, to the detriment of other factors such as the workload. A follow-up quantitative study explored whether these effects are mitigated by changing how predictions are conveyed. Our observations suggest the presence of a framing effect that induces students to put more effort into course selection when faced with more specific predictions. We discuss these and other findings and outline considerations for designing better data-driven course selection tools.

Dates et versions

hal-03500534 , version 1 (22-12-2021)

Identifiants

Citer

Luis Galárraga, Gonzalo Mendez, Katherine Chiluiza. Showing Academic Performance Predictions during Term Planning: Effects on Students’ Decisions, Behaviors, and Preferences. CHI 2021 - ACM CHI Conference on Human Factors in Computing Systems, May 2021, Yokohama, Japan. pp.1-17, ⟨10.1145/3411764.3445718⟩. ⟨hal-03500534⟩
38 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More