An agent-based framework for personalized learning in continuing professional development

International Journal of Distance Education Technologies

Volumn 4, Issue 3, 2006, Pages 48-61

  Fok, Apple W P ^a   Ip, Horace H S ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Agent technology; Continuous professional development; Ontology; Personalization; Web based individualized learning

Indexed keywords

DISTANCE EDUCATION; KNOWLEDGE ACQUISITION; MULTI AGENT SYSTEMS; ONLINE CONFERENCING; PERSONNEL TRAINING; PROFESSIONAL ASPECTS;

CONTINUOUS PROFESSIONAL DEVELOPMENT (CPD); ONTOLOGY; PERSONALIZATION LEARNING; WEB-BASED INDIVIDUALIZED LEARNING;

LEARNING SYSTEMS;

EID: 33750527104     PISSN: 15393100     EISSN: 15393119     Source Type: Journal    
DOI: 10.4018/jdet.2006070105     Document Type: Review

References (23)

1. A Skills Cert programme. (n.d). The Irish Computer Society. Retrieved from http://www.ics-skills.ie/hompage.aspx
2. Adomavicius, G., & Tuzhilin, A. (2001). Expert-driven validation of rule-based user models in personalization applications. In Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99), New York, NY.
3. An 8-stage process to CPD for IT professionals. (n.d.). The British Computer Society (BCS). Retrieved from http://www.bcs.org/server.php?show=nav.1
4. Ardissono, L., & Cohen, R. (1995, August). On the value of user modeling for improving plan recognition. In Proceedings of the Workshop on The Next Generation of Plan Recognition Systems: Challenges for and Insight from Related Areas of AI (pp. 8-12).
5. Bauer, M. (1994). Quantitative modeling of user preferences for plan recognition. In Proceedings of the 4th International Conference on User Modeling (pp. 73-78).
6. Bauer, M. (1996). Machine learning for user modeling and plan recognition. In V. Moustakis, & J. Herrmann (Eds.), Proceedings of the Icml'96 Workshop. Machine Learning Meets Human Computer Interaction (pp. 5-16).
7. Cooley, R., Mobasher, B., & Srivastava, J. (1999). Data preparation for mining World Wide Web browsing patterns. Journal of Knowledge and Information Systems, 7(1).
8. Domingo, P., Garcia-Crespo, A., Ruiz, B., & Iglesias, A. (2002). Edu-Ex: A tool for autoregulated intelligent tutoring systems development based on models. Avenida de la Universidad, 30.28911, Artificial Intelligence Review 18. Kluwer Academic.
9. Fok, A., & Ip, H. (2004). Personalized Education (PE) - An exploratory study of learning pedagogies in relation to personalization technologies. In Proceedings of Advances in Web-Based Learning (ICWL 2004). Lecture Notes in Computer Science (LNCS 3143) (pp. 407-415).
10. Instone, K. (2000). Information architecture and personalization. Argus Associates. Retrieved from http://argus-acia.com/white_papers/personalization. html
11. Khopkar, Y., Spink, A., Giles, C. L., Shah, P., & Debnath, S. (2003). Search engine person alization. Retrieved September 30, 2005, from http://firstmonday.org/issues/issue8_7/khopkar/index.html
12. Kurki, T., Jokela, S., Sulonen, R., & Turpeinen, M., (1998). Agents in delivering personalized content based on semantic metadata. American Association for Artificial Intelligence. Retrieved September 30, 2005, from http://www.aaai.org/
13. Micarelli, A., & Sciarrone, F. (2004). Anatomy and empirical evaluation of an adaptive Web-based information filtering system. User Modeling and User-Adapted Interaction, 14, 159-200.
14. Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic personalization based on Web usage mining. Communications of the ACM, 43(8), 142-151.
15. Patel, A., & Kinshuk. (1996). Artificial intelligence in learning and assessment - A supportive software for the teaching of accounting. In Proceedings of the 6th East-West International Conference on Human-Computer Interaction, Moscow (pp. 1-11).
16. Patel, A., & Kinshuk. (1997, June 2-6). Intelligent tutoring tools on the Internet - Extending the scope of distance education. In Proceedings of the International Conference on Distance Education (ICDE 97), State College, PA. Retrieved from http://infosys.massey.ac.nz/~kinshuk/papers/icde97.pdf
17. Soloway, E., & Pryer, A. (1996). The next generation in human-computer interaction. Communications of the ACM, 39(4), 16-18.
18. Tanudjaja, F., & Mui, L. (2002). Persona: A contextualized and personalized Web search. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02) (Vol. 3, pp. 53).
19. The industry model matrix. (n.d.). The British Computer Society. Retrieved September 30, 2005, from http://www.bcs.org/bcs/products/corporate/ industrymodel/about/matrix.htm
20. The Semantic Web. (n.d.). Retrieved September 30,2005, from http://www.w3.org/2001/sw/
21. W3C RDF model and syntax specification. (n.d.). Retrieved September 30, 2005, from http://www.w3.org/TR/1999/REC-rdf-syntax-19990222
22. Zhang, B. K., & Seo, Y. W. (2001). Personalized Web-document filtering using reinforcement learning. Applied Artificial Intelligence, 15(7), 665-685.
23. Zhou, Y., & Evens, M. (1999). A practical student model in an intelligent tutoring system. In Proceedings of the 11th International Conference on Tools with Artificial Intelligence, Chicago, IL (pp. 13-18).