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Volumn , Issue , 2010, Pages 241-248

Using educational data mining methods to study the impact of virtual classroom in e-learning

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING METHODS; E-LEARNING TOOL; EDUCATIONAL DATA MINING; EDUCATIONAL SERVICES; LEARNING ACTIVITY; VIRTUAL CLASSROOM; VIRTUAL LEARNING ENVIRONMENTS; WEB USAGE;

EID: 79960053813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (19)
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    • DOI 10.1016/j.ijhcs.2006.08.008, PII S1071581906001303
    • R. Mazza and V. Dimitrova, "CourseVis: A graphical student monitoring tool for supporting instructors in web-based distance courses, " International Journal of Human-Computer Studies, vol. 65, no. 2, pp. 125-139, 2007. (Pubitemid 44809992)
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    • Minaei-Bidgoli, B.1    Punch, B.2
  • 9
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    • Identification of fuzzy models to predict students performance in an e-Learning environment
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    • A. Nebot, F. Castro, A. Vellido, and F. Mugica, "Identification of Fuzzy Models to Predict Students Performance in an e-Learning Environment, " in The Fifth IASTED International Conference on Web-Based Education, Puerto Vallarta, Mexico, 2006, pp. 74-79.
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    • Collaborative virtual environments to support communication and community in internet-based distance education
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.