NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ849276
Record Type: Journal
Publication Date: 2009-Nov
Pages: 10
Abstractor: As Provided
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0360-1315
Course Ontology-Based User's Knowledge Requirement Acquisition from Behaviors within E-Learning Systems
Zeng, Qingtian; Zhao, Zhongying; Liang, Yongquan
Computers & Education, v53 n3 p809-818 Nov 2009
User's knowledge requirement acquisition and analysis are very important for a personalized or user-adaptive learning system. Two approaches to capture user's knowledge requirement about course content within an e-learning system are proposed and implemented in this paper. The first approach is based on the historical data accumulated by an interactive question-answering process. The association space is proposed to record and formalize the historical interactive information which is used to compute user's knowledge requirement. The second approach is based on user's reading behavior logs in the process of reading e-documents. User's reading actions including underline, highlight, circle, annotation and bookmark, are used to compute user's knowledge requirement. Two experiments are conducted to implement the two proposed approaches and acquire the user's knowledge requirement. The evaluation results show that the user models computed by two approaches are consistent and can reflect user's real knowledge requirements accurately. (Contains 3 tables and 8 figures.)
Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A