The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System
The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System
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智能辅导系统中动机建模对情感的影响
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
R. Luckin
中科院分区：
文献类型：
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作者：
M. Rodrigo;Genaro Rebolledo;R. Baker;Benedict;du Boulay;Jessica O. Sugay;Sheryl Ann L. Lim;Maria Beatriz V. Espejo;R. Luckin
Ecolab 系统的动机感知版本的开发旨在提高学习者的动机。为了深入了解动机模型对学生情感状态的影响，我们观察了 180 名学生与 Ecolab 或 M-Ecolab 互动的影响。所考虑的情感状态基于现有的编码方案[10]。结果表明，随着时间的推移，具有动机意识的辅导系统似乎可以保持学生的快乐。然而，动机干预似乎并没有创造新的积极情感的“良性循环”[10]，也没有破坏学生持续处于消极情感状态的“恶性循环”。
A motivationally-aware version of the Ecolab system was developed with the aim of improving the learners’ motivation. To gain some insight into the effects of motivational modeling on students’ affective states, we observed the affect of 180 students interacting with either Ecolab or M-Ecolab. The affective states considered were based on existing coding schemes [10]. The results suggest that the motivationally-aware tutoring system seems to maintain students’ delight over time. However, it seems the motivational interventions did not create new “virtuous cycles” of positive affect [10], or disrupt “vicious cycles”, where a student persists in a negative affective state.