Implement web learning environment based on data mining

Knowledge-Based Systems

Volumn 22, Issue 6, 2009, Pages 439-442

  Guo, Qinglin ^a,b   Zhang, Ming ^a  

^a PEKING UNIVERSITY   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Data mining; Data mining algorithm; Individual; Learning technologies; Web based learning

Indexed keywords

COGNITIVE LEARNING; COGNITIVE LEARNING THEORIES; DATA MINING ALGORITHM; DEEP LEARNING; DESIGN AND DEVELOPMENT; DYNAMIC LEARNING; EDUCATIONAL CONTENTS; EDUCATIONAL ENVIRONMENT; HYPERMEDIA; INDIVIDUAL; LEARNER-CENTERED; LEARNING CONTENTS; LEARNING PATTERNS; LEARNING PROCESS; LEARNING SUPPORT SYSTEMS; LEARNING TECHNOLOGIES; ONLINE COURSE; OPTIMAL EFFICIENCY; TECHNOLOGY SUPPORT; WEB LEARNING; WEB-BASED LEARNING; WEB-BASED LEARNING ENVIRONMENT; WEB-BASED LEARNING SYSTEMS;

CURRICULA; DATA MINING; MINING; TEACHING;

LEARNING ALGORITHMS;

EID: 67650448176     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2009.06.001     Document Type: Article

References (15)

1. V. Mirabella, S. Kimani, T. Catarci, A no frills approach for accessible web based learning material, in: Proc. of the 13th International World Wide Web Conference, New York, 2006, pp. 89-95.
2. Schmetzke A. Online distance education: 'Anytime, anywhere' but not for everyone. International Journal of Information Technology and Disability 18 2 (2007) 108-116
3. WebCT, WebCT home page, 2007. .
4. Blackboard Inc, Blackboard home page, 2007. .
5. P. Brusilovsky, KnowledgeTree: a distributed architecture for adaptive E-learning, in: Proc. of WWW 2004, May 17-24, 2004, ACM, pp.104-111.
6. P. Brusilovsky, J. Anderson, An adaptive system for learning cognitive psychology on the web, in: Proceedings WebNet 07- 7th World Conference of the WWW, Internet & Intranet, Orlando, Florida, November 7-12, 2007, pp. 92-97.
7. F. Lisa, A cognitive approach of web-based learning support systems, in: Proceedings ICALT'05 - 5th IEEE International Conference on Advanced Learning Technologies, IEEE computer society, August 2005, pp. 233-239.
8. Eugenia M.W., and Ada W. An innovative model to foster web-based collaborative learning. International Journal of Informing Science 16 (2007) 122-126
9. K. Pythagoras, An architectural approach for supporting accessible hypermedia in web-based learning system, in: Proceedings ICALT'05 - 5th IEEE International Conference on Advanced Learning Technologies, IEEE computer society, August 2005, pp. 276-278.
10. IMS Learning Design Specification V 1.1.3, 2007. .
11. E.J. Koper, Modelling units of study from a pedagogical perspective: the pedagogical metamodel behind EML. .
12. Alejandro C. Adaptive and intelligent web based education system: towards an integral architecture and framework. International Journal of Expert Systems with Applications 33 3 (2007) 1076-1089
13. Shi Z.Z. Knowledge discovering. first ed. (2002), Qinghua University Press in China, Beijing pp. 105-122
14. A. Corcoran, S. Sen, Using real-valued genetic algorithms to evolve rule sets for classification, in: Proceeding of the Eleventh IEEE International Conference on Evolutionary Computation 11, New York, USA, August 2006, pp. 650-661.
15. Brown P., and Della P. Class-based n-gram models of natural language. International Journal of Computational Linguistics 28 4 (2006) 477-480