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AI for Learning

Investigating how students' self-efficacy and favorability towards practice influence learning gains from intelligent tutoring systems versus paper-based practice.

cs.CYBeginner-friendlyTracked lab · Human-Computer Interaction Institute

Self-Efficacy and Favorability Shape Learning from Tutoring Systems and Paper Practice

Xinfei Cen, Vincent Aleven, Kenneth R. Koedinger, Conrad Borchers +1 more

In plain terms

This paper investigates how student motivation, specifically their belief in their own ability (self-efficacy) and how much they like a learning method (favorability), influences learning from different types of practice. Researchers compared learning outcomes from an Intelligent Tutoring System (ITS) – a computer program offering personalized instruction and feedback – with traditional paper-based practice, using matched problems and a counterbalanced design to isolate effects. They found that students who started with lower baseline self-efficacy achieved greater learning gains regardless of the practice format. Among these students with lower self-efficacy, greater favorability toward the tutor was linked to better learning during tutor practice. Interestingly, ITS-based practice did not significantly improve students' post-training self-efficacy compared to paper methods. These findings suggest that tailoring practice formats to a student's motivational profile could significantly enhance learning.

Why it matters · For new researchers in AI for education, this paper highlights that understanding student psychology and motivation is as crucial as developing advanced algorithms for effective educational tools. It underscores the potential for personalized learning experiences that consider not just a student's knowledge, but also their emotional and motivational states.

About this work · This research delves into the critical area of how motivational factors interact with technology-supported learning, building on the expertise of researchers at Carnegie Mellon University's Human-Computer Interaction Institute (HCII) and LearnLab, renowned for their work in Intelligent Tutoring Systems.

intelligent tutoring systemsstudent motivationself-efficacypersonalized learninglearning analytics