A design to promote group learning in e-learning by naive bayesian

Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008

Volumn 2, Issue , 2008, Pages 379-382

  Yang, Qing ^a   Zheng, Shijue ^a   Huang, Juying ^a   Li, Junwei ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; E-LEARNING;

COMMUNICATION MODE; CRITICAL SUCCESS FACTOR; FIELD OBSERVATIONS; GROUP LEARNING; NAIVE BAYES; NAIVE BAYESIAN; PERSONAL CHARACTERISTICS; SPACE AND TIME;

LEARNING SYSTEMS;

EID: 61349158524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iscid.2008.154     Document Type: Conference Paper

References (8)

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2. Laura Uusitalo, "Advantages and challenges of Bayesian networks in environmental modeling", ecological modelling 203 (2007) PP: 312-318
3. Pei-Chen Sun, Hsing Kenny Cheng, Tung-Chin Lin, Feng-Sheng Wang, "A design to promote group learning in e-learning: Experiences from the field", P.-C. Sun et al. / Computers & Education 50 (2008), PP: 661-677
4. Jong-Ki Lee, Woong-Kyu Lee, "The relationship of e-Learner's self-regulatory efficacy and perception of e-Learning environmental quality", Computers in Human Behavior 24 (2008) PP: 32-47
5. Chang-Hwan Lee, "Improving classification performance using unlabeled data: Naive Bayesian case", Knowledge-Based Systems 20 (2007) PP: 220-224
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7. Marco Za&alon, "The naive credal classifier", Journal of Statistical Planning and Inference 105 (2002), PP. 5-21
8. Qing Yang, Xueping Wang, Zhufeng Huang, "Resarch of Student Model Based on Bayesian Network", Proceedings of the 2007 1st International Symposium on Information Technologies and Applications in Education (ISITAE2007), Institute of Electrical and Electronics Engineers, 2007.11, PP: 514-519