MetaTutor: Analyzing Self-Regulated Learning in a Tutoring System for Biology

Authors:
Roger Azevedo;Amy Witherspoon;Arthur Graesser;Danielle McNamara;Amber Chauncey;Emily Siler;Zhiquiang Cai;Vasile Rus;Mihai Lintean
Affiliations:
Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA;Department of Psychology, University of Memphis, Memphis, TN, 38152, USA and Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA;Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA and Department of Computer Science, University of Memphis, Memphis, TN, 38152, USA;Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA and Department of Computer Science, University of Memphis, Memphis, TN, 38152, USA
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

Citing 0
Cited 2

Core aspects of affective metacognitive user models

UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Investigating the impact of pedagogical agent gender matching and learner choice on learning outcomes and perceptions

Computers & Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

We report preliminary data of an initial laboratory study examining the effectiveness of self-regulated learning (SRL) training versus no training on learners' ability to deploy SRL processes and learn about the circulatory system with MetaTutor. MetaTutor is an intelligent tutoring system (ITS) designed to train and foster learners' SRL processes while learning about several complex human body systems. We used a mixed methodology approach and include the results of a subset of the participants (N=30) whose product and process data we have analyzed. Overall, the results indicate that the SRL training group significantly outperformed the control group.