Adaptive Recommendation Systems for Peer Tutoring Based on Ontology

• Main Authors: Yen-Fen Hou, 侯燕棻
• Other Authors: Min-Hua Shao
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/31645347889965868768

碩士 === 國立屏東科技大學 === 資訊管理系所 === 100 === Peer tutoring propose learning by someone who have some age or position. Because they have similar back ground, fewer knowledge gap, they can Promote learning Effectiveness by discussion. In there, this research’s point is "how to choice the adaptive tutor?” This Research propose adaptive tutor and peer learning question recommendation system based on ontology. The results show is significantly of cognitive expertise gap influence on satisfaction. Tutee has high satisfaction to tutor who have higher cognitive expertise than other tutor. Compare keyword recommendation with peer question recommendation which consider similarity of question ontology and knowledge ontology between tutee and peer. Satisfaction of peer question is higher than keyword recommendation.