The Integration of Domain-Independent Strategies into an Affective Tutoring System: Can Students’ Learning Gain be Improved?
Autores:
Yusoff, Mohd Zaliman du Boulay, Benedict
Fecha:
2011-06-30
Publicador:
EJCSIT: Electronic journal of computer science and information technology
Fuente:
Tipo:
Peer-reviewed Article
Tema:
No aplica
Descripción:
Students ordinarily use both domain-dependent (such as seeking specific domain help) and domain-independent (such as trying to relax) strategies in regulating their affective states in learning. By contrast, current affective tutoring systems concentrate on the deployment of domaindependent strategies only in regulating students’ emotional states in learning. This paper reports the results of an experimental study that evaluated students’ performance using the proposed framework. In a between-subjects experiment, students used two versions of a system for teaching data structures. The systems differed only in that one supported domain independent strategies, while both system systems supported domain-dependent strategies. Results provide some evidence that the experimental groups (presented with both the domain-dependent and domain-independent strategies) performed better than the control group (presented with only domain-dependent strategy) in learning data structures.