Applying agent negotiation to enhance instructor-learner interaction for learning effectiveness promotion

被引:0
|
作者
Lai, K. Robert
Lan, Chung Hsien
Tseng, Chung Cheng
机构
关键词
intelligent systems in education; autonomous agents; adaptive learning; agent negotiation; fuzzy constraints;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study presents a novel model that integrates agent negotiation into adaptive learning for enhancing interaction efficiency between learner and instructor and promoting learning effectiveness. A constraint-based agent negotiation mechanism is employed to support a one-to-one interaction. Through the negotiation process, the instructor also can gradually perceive the learners' feedback and then reflect on the appropriateness of the learning sequence, adjust instructional goal, approach and scheme. The instructor can thus provide more adaptive teaching based on learners' specific needs to enhance learning effectiveness. Experimental results suggested that the proposed methodology was able to improve learning performance and learners also believed that the system enhanced their learning motivation and increased the flexibility of course learning.
引用
收藏
页码:102 / 112
页数:11
相关论文
共 24 条