標題: A personalized learning content adaptation mechanism to meet diverse user needs in mobile learning environments
作者: Su, Jun-Ming
Tseng, Shian-Shyong
Lin, Huan-Yu
Chen, Chun-Han
資訊工程學系
Department of Computer Science
關鍵字: Personalized learning content;Content adaptation;Mobile learning environment;Data mining;Learning object repository
公開日期: 1-四月-2011
摘要: With the heterogeneous proliferation of mobile devices, the delivery of learning materials on such devices becomes subject to more and more requirements. Personalized learning content adaptation, therefore, becomes increasingly important to meet the diverse needs imposed by devices, users, usage contexts, and infrastructure. Historical server logs offer a wealth of information on hardware capabilities, learners' preferences, and network conditions, which can be utilized to respond to a new user request with the personalized learning content created from a previous similar request. In this paper, we propose a Personalized Learning Content Adaptation Mechanism (PLCAM), which applies data mining techniques, including clustering and decision tree approaches, to efficiently manage a large number of historical learners' requests. The proposed method will intelligently and directly deliver proper personalized learning content with higher fidelity from the Sharable Content Object Reference Model (SCORM)-compliant Learning Object Repository (LOR) by means of the proposed adaptation decision and content synthesis processes. Furthermore, the experimental results indicate that it is efficient and is expected to prove beneficial to learners.
URI: http://dx.doi.org/10.1007/s11257-010-9094-0
http://hdl.handle.net/11536/9088
ISSN: 0924-1868
DOI: 10.1007/s11257-010-9094-0
期刊: USER MODELING AND USER-ADAPTED INTERACTION
Volume: 21
Issue: 1-2
起始頁: 5
結束頁: 49
顯示於類別:期刊論文


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