User Modeling and User-Adapted Interaction
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Towards Systems That Care: A Conceptual Framework based on Motivation, Metacognition and Affect
International Journal of Artificial Intelligence in Education
Hi-index | 0.00 |
Students use both domain-dependent strategies (such as seeking specific domain help) and domain-independent strategies (such as relaxation exercises) to help regulate their affective states when learning. This paper reports a study that compared students' performance in learning data-structures across two systems. While both systems supported domain-dependent strategies, one additionally supported domain-independent strategies (relaxation exercises). The results provide some evidence that students working with both domain-dependent and domain-independent strategies performed better than those working with domain-dependent strategies only.