Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics

Abstract

Many previous studies have highlighted the influence of learners’ affective states on learning with tutoring systems. However, the associations between learning and learners’ meta-affective capability are still unclear. The goal of this paper is to analyse meta-affective capability and its influence on learning outcomes as well as the dynamics of affect over time. Two criteria, awareness and self-regulation, were employed to define meta-affective capability. An exploratory study (n = 54) was conducted in which students at the secondary level were asked to interact with an intelligent tutoring system for mathematics and to self-report their affect during their interactions with the system. Pre-post learning outcomes were also measured. A post-hoc comparison of learning gains was made between more meta-affectively capable and less meta-affectively capable students. The results provide some empirical evidence to support the hypothesis that having meta-affective capability is positively associated with learning. Students not demonstrating meta-affective capability seemed to transition frequently from boredom to frustration (p = .0284) and from concentration to neutral (p = 0.0017). However, only a small percentage of the sample were classified as having meta-affective capability, indicating that it is important to scaffold students who are not meta-affectively capable.