Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems

Computers and Education

Volumn 53, Issue 3, 2009, Pages 809-818

  Zeng, Qingtian ^a   Zhao, Zhongying ^b,c,d   Liang, Yongquan ^a  

^a SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

Distance and telelearning; Learning communities; Simulations

Indexed keywords

COURSE CONTENTS; COURSE ONTOLOGY; DISTANCE AND TELELEARNING; E-DOCUMENTS; EVALUATION RESULTS; HISTORICAL DATA; KNOWLEDGE REQUIREMENTS; LEARNING COMMUNITIES; QUESTION ANSWERING; SIMULATIONS; USER MODELS; USER-ADAPTIVE;

CURRICULA; INTERNET; MULTIMEDIA SYSTEMS; ONTOLOGY;

E-LEARNING;

EID: 67650450170     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2009.04.019     Document Type: Article

References (22)

1. Aha D., Kibler D., and Albert M. Instance-based learning algorithms. Machine Learning 6 (1991) 37-66
2. Alejandro Canales, Alejandro Pen{combining double acute accent}a R.P.H.S., and Gutiérrez A. Adaptive and intelligent web based education system: Towards an integral architecture and framework. Expert Systems with Applications 33 4 (2007) 1076-1089
3. Barab S., and Squire K. Design-based research: Putting a stake in the ground. Journal of the Learning Sciences 13 1 (2004) 1-14
4. Berlanga A.J., and García F.J. Authoring tools for adaptive learning designs in computer-based education. Proceedings of the 2005 Latin American conference on human-computer interaction Vol. 124 (2005), ACM, Cuernavaca, Mexico 190-201
5. Boticario J.G.E., and Hernandez F. Adaptive navigation support and adaptive collaboration support in webdl. Proceedings of the international conference on adaptive hypermedia and adaptive Web-based systems. Lecture notes in computer science Vol. 1892 (2000), Springer-Verlag 51-61
6. Brusilovsky P. Adaptive and intelligent technologies for web-based education. Special Issue on Intelligent Systems and Teleteaching 4 (1999) 19-25
7. Brusilovsky P., and Vassileva J. Course sequencing techniques for large-scale web-based education. International Journal of Continuing Engineering Education and Lifelong Learning 13 (2003) 75-94
8. Bueno, F. J., Alonso, M. G., & Castillo, J. R. (2007). Assisting lecturers to adapt e-learning content for deaf students. In Proceedings of the 12th annual SIGCSE conference on innovation and technology in computer science education,ITiCSE'07 (pp. 335-335). Dundee, Scotland: ACM.
9. Chen C.M., Liu C.Y., and Chang M.H. Personalized curriculum sequencing utilizing modified item response theory for web-based instruction. Expert Systems with Applications 30 2 (2006) 378-396
10. Chen C.L.H., and Chen Y. Personalized e-learning system using item response theory. Computers and Education 43 3 (2005) 237-255
11. Dolog, P., Henze, N., Nejdl, W., & Sintek, M. (2004). Personalization in distributed e-learning environments. In Proceedings of the 13th international world wide web conference on alternate track papers (pp. 170-179). New York: ACM.
12. Guarino N., and Welty C.A. A formal ontology of properties. Proceedings of the 12th European workshop on knowledge acquisition. Modeling and management, Lecture notes in computer science Vol. 1937 (2000), Springer-Verlag 97-112
13. Hung, J. C., Wang, C. S.,Yang, C. Y., Chiu, M. S., Yee, G. (2005). Applying word sense disambiguation to question answering system for e-learning. In Proceedings of the 19th international conference on advanced information networking and applications, (Vol. 1, pp. 157-162). IEEE Computer Society.
14. Hunter C. Sustainable tourism as an adaptive paradigm. Annals of Tourism Research 24 4 (1997) 850-867
15. Lee M.G. Profiling students' adaptation styles in web-based learning. Computers and Education 36 (2001) 121-132
16. Shadbolt S.E., Middleton N., and Roure D. Ontological user profiling in recommender systems. ACM Transactions on Information Systems 22 1 (2004) 54-88
17. Papanikolaou K., and Grigoriadou M. Towards new forms of knowledge communication: The adaptive dimension of a web-based learning environment. Computers and Education 39 (2002) 333-360
18. Sandoval W., and Bell P. Design-based research methods for studying learning in context: Introduction. Educational Psychologist 39 4 (2004) 199-201
19. Tang, T. Y. & Mccalla, G. (2003). Smart recommendation for evolving e-learning system. In 11th international conference on artificial intelligence in education, Workshop on technologies for electronic documents for supporting learning (pp. 699-710). Sydney, Australia.
20. Thyagharajan, K. & N., R. (2007). Adaptive content creation for personalized e-learning using web services. Journal of Applied Sciences Research, 3(9), 828-836.
21. Vasilyeva E. Towards personalized feedback in educational computer games for children. Proceedings of the sixth conference on IASTED international conference Web-based education Vol. 2 (2007), ACTA, Chamonix, France 597-602
22. Wang Y.W.W., and Huang C. Enhanced semantic question answering system for e-learning environment. Proceedings of the 21st international conference on advanced information networking and applications workshops Vol. 2 (2007), IEEE Computer Society 1023-1028