Animated pedagogical agent based on decision tree for e-learning
Animated pedagogical agent based on decision tree for e-learning
复制标题
基于决策树的电子学习动画教学代理
DOI：
10.1109/icalt.2005.63
复制
发表时间：
2005
期刊：
影响因子：
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通讯作者：
M. Ueno
中科院分区：
文献类型：
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作者：
M. Ueno
本文提出了一种基于智能代理的学习管理系统（LMS），为学习者提供有效的自适应信息。本文的独特之处在于：本文提出的智能体系统具有一个学习者模型，该模型是利用数据库中存储的学习历史数据构建的决策树模型自动地、连续地构建的。构建的学习者模型预测了学习者未来的最终状态(1)。失败了,2。放弃,3。成功,4。很好)利用他/她当前的学习历史数据。构建的精简模型随着数据库中积累的数据量的增加而变得更加精确。智能体系统根据学习者对未来状态的预测，给出最优的教学信息。根据上野（2004）的理论，当学习者开始对自己的学习感到厌倦时，agent会提供一些注意提示。此外，本文还通过实际的在线学习课程验证了该系统的有效性。
This paper proposes a LMS (learning management system) with intelligent agent to provide effective adaptive messages to a learner. The unique features of this paper are shown as follows: The agent system proposed in this paper has a learner model, which is automatically and continually constructed by applying the decision tree model constructed from the learning histories data stored in the data-base. The constructed leaner model predicts a learner's future final status (1. Failed, 2. Abandon, 3. Successful, 4.Excellent) using his/her current learning history data. The constructed leaner model becomes more exact as the amount of data accumulated in the database increases. The agent system presents the optimal instructional message based on the learner's predicted future state. The agent provides some attention cues according to Ueno (2004) at the timing when a learner begins to be bored with his/her learning. In addition, this paper demonstrates the effectiveness of this system through actual e-learning classes.
动画代理可在电子学习中保持学习者的注意力。
DOI：
--
发表时间：
2004
期刊：
World Conference on E-Learning (Corp., Govt., Health., & Higher Ed.) Vol.2004,Issue.1
影响因子：
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作者：
J.Li;H Suda;Y Miida;Maomi Ueno
通讯作者：
Maomi Ueno