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On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning

Authors :
Lallé, Sébastien
Conati, Cristina
Azevedo, Roger
Mudrick, Nicholas
Taub, Michelle
Source :
International Educational Data Mining Society. 2017.
Publication Year :
2017

Abstract

In this paper, we investigate the relationship between students' learning gains and their compliance with prompts fostering self-regulated learning (SRL) during interaction with MetaTutor, a hypermedia-based intelligent tutoring systems (ITS). When possible, we evaluate compliance from student explicit answers on whether they want to follow the prompts, When such answers are not available, "we mine" several student behaviors related to prompt compliance. These behaviors are derived from students' eye-tracking and interaction data (e.g., time spent on a learning page, number of gaze fixations on that page). Our results reveal that compliance with some, but not all SRL prompts provided by MetaTutor do influence learning. These results contribute to gain a better understanding of how students benefit from SRL prompts, and provides insights on how to further improve their effectiveness. For instance, prompts that do improve learning when followed could be the focus of adaptation designed to foster compliance for those students who would disregard them otherwise. Conversely, prompts that do not improve learning when followed could be improved based on further investigations to understand the reason for their lack of effectiveness. [For the full proceedings, see ED596512.]

Details

Language :
English
Database :
ERIC
Journal :
International Educational Data Mining Society
Publication Type :
Conference
Accession number :
ED596612
Document Type :
Speeches/Meeting Papers<br />Reports - Research