Adaptable learning pathway generation with Ant Colony Optimization

Educational Technology and Society

Volumn 12, Issue 3, 2009, Pages 309-326

  Wong, Lung Hsiang ^a   Looi, Chee Kit ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Ant Colony Optimization; Course sequencing; Learning on demand; Learning pathway planning; Personalized e Learning; Swarm Intelligence (Self Organizing Agents); Web based learning

Indexed keywords

EID: 77649291227     PISSN: 11763647     EISSN: 14364522     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. Arshard, F.N. (1989). Knowledge based learning advisors, Proceedings of International Conference on Technology and Education '89 (pp.213-217), Orlando, USA.
2. Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm Intelligence: From Natural to Artificial Systems, New York: Oxford University Press.
3. Brookfield, S. (1985). Self-directed learning: A critical review of research. In S. Brookfield (Ed.), Self-Directed Learning: From Theory to Practice, vol. 25, New Directions for Continuing Education Series. San Francisco, USA: Jossey-Bass.
4. Carchiolo, V., Longheu, A., & Malgeri, M. (2002). Adaptive formative paths in a web-based learning environment. Educational Technology & Society, 5(4), 64-75.
5. Chen, C-M, Liu, C-Y, & Chang, M-H (2006). Personalized curriculum sequencing utilizing modified item response theory for web-based instruction. Expert Systems with Applications, 30(2), 378-396, February 2006.
6. Claypool, M., Le, P., Waseda, M. & Brown, D. (2001). Implicit interest indicators. Proceedings of ACM Intelligent User Interfaces Conference '01 (pp.33-40), Santa Fe, USA.
7. Di Caro, G., & Dorigo, M. (1998). AntNet: Distributed stigmergetic control for communications networks. Art. Int. Res., 9, 317-365.
8. Di Caro, G. (2004). Ant colony optimization and its application to adaptive routing in telecommunication networks. Unpublished doctoral dissertation. Faculte des Sciences Appliquees, Universite Libre de Bruxeles, Brussels, Belgium.
9. Dieberger, A., Höök, K., Svensson, M., & Lönnqvist, P. (2001). Social navigation research agenda. Presented at: Computer-Human Interaction Conference '01, Seattle, USA.
10. Dorigo, M. (1992). Ottimizzazione, apprendimento automatico, ed algoritmi basati su metafora naturale, Unpublished doctoral dissertation, Politecnico di Milano, Italy.
11. Dorigo, M., & Stützle, T. (2004). Ant Colony Optimization. Cambridge, MA: MIT Press.
12. nd Ed.), Hoboken, NJ: John Wiley & Sons.
13. Farzan, R., & Brusilovsky, P. (2005). Social navigation support in e-learning: What are the real footprints?. Proceedings of Workshop on Intelligent Techniques for Web Personalization '05 (pp.49-56), Edinburgh, UK.
14. Gutiérrez, S., Pardo, A., & Kloos, C.D. (2006). Finding a learning path: toward a swarm intelligence approach. Proceedings of International Conference on Web-based Education '06 (pp.94-99), Puerto Vallarta, Mexico.
15. Guitérrez, S., Valigiani, G., Jamont, Y., Collet, P., & Kloos, C.D. (2007). A swarm approach for automatic auditing of pedagogical planning. Proceedings of International Conference on Advanced Learning Technology '07 (pp.136-138), Niigata, Japan.
16. Han, J., Pei, J., & Yin, Y. (2000). Mining frequent patterns without candidate generation. Paper presented at International Conference on Management of Data '00, Dallas, USA.
17. Höök, K., & Benyon, D. (2003). Designing Information Spaces: The Social Navigation Approach.London: Springer.
18. Huang, Y-M, Chen, J-N, & Cheng, S-C (2007). A method of cross-level frequent pattern mining for web-based instruction. Educational Technology & Society, 10(3), 305-319.
19. Janssen, J., Tattersall, C., Waterink, W., Van den Berg, B., Van Es, R., Bolman, C., & Koper, R. (2007). Self-organizing navigational support in lifelong learning: How predecessors can lead the way. Computers & Education, 49, 781-793.
20. Joachims, T., Freitag, D., & Mitchell, T. (1997). WebWatcher: A tour guide for the World Wide Web. Proceedings of International Joint Conferences on Artificial Intelligence '97, (pp.770-775), Nagoya, Japan.
21. Karagiannidis, C., Sampson, D., & Cardinalli, F. (2001). Integrating adaptive educational content into different courses and curricula. Educational Technology & Society, 4(3), 37-44.
22. Lai, T.W., Lee, P., Chong, C., & Ong, P.Y. (2004). Dynamic Learning Pathway Advisor (DYLPA) for Virtual Institute of ISS, Unpublished internal report, Institute of Systems Science, National Universiy of Singapore, Singapore.
23. Niemczyk, S. (2000). On pedagogical-aware navigation of educational media through virtual tutors. Internal Document, Department of Civil & Environmental Engineering, Massachusetts Inst. of Tech.
24. Parunak, H.V.D. (1997). "Go to the ant": Engineering principles from natural multi-agent systems. Annals of Operations Research, 75, 69-101.
25. Peachey, D.R., & McCalla, G.I. (1986). Using planning techniques in intelligent tutoring systems. Man-Machine Studies, 24, 79-98.
26. Semet, Y., Lutton, E., & Collet, P. (2003). Ant colony optimization for e-learning: observing the emergence of pedagogic suggestions, Proceedings of IEEE Swarm Intelligence Symposium '03 (pp.46-52), Indianapolis, USA.
27. Shipman, F., Furuta, R., Brenner, D., Chung, C., & Hsieh, H. (2000). Guided paths through web-based collections: Design, experiences, and adaptations. American Society of Information Sciences, 51, 260-272.
28. SRI Consulting Business Intelligence (n.d.). Welcome to SRIC-BI. Retrieved March 14, 2008, from: http://future.sri.com/LOD/
29. Steels, L. (1991). Toward a theory of emergent functionality. From Animal to Animats: Proceedings of the International Conference on the Simulation of Adaptive Behavior '91 (pp.451-461), Cambridge, MA: MIT Press.
30. Stützle, T., & Hoos, H. (1997). Improvements on the Ant System: Introducing MAX-MIN Ant System. Proceedings of International Conference on Adaptive and Natural Computing Algorithms '97 (pp.245-249), Vienna, Austria: Springer-Verlag.
31. Tang, T., & Chan, K. (2002). Feature construction for student group forming based on their browsing behaviors in an educational system. Proceedings of Pacific Rim International Conference on Aritificial Intelligence'02 (pp.512-521), Berlin/Heidelberg, Germany: Springer.
32. Valigiani, G., Biojout, R., Jamont, Y., Lutton, E., Bourgeois, C., & Collet, P. (2005). Experimenting with a real-size man-hill to optimize pedagogical paths. Proceedings of the ACM Symposium on Applied computing '05 (pp.4-8), Santa Fe, USA.
33. Van den Berg, B., Van Es, R., Tattersall, C., Janssen, J., Manderveld, J., Brouns, F., Kurvers, H., & Koper, R. (2005). Swarm-based sequencing recommendations in e-learning. Proceedings of International Conference on Intelligence Systems Design and Applications '05 (pp.488-493), Wroclaw, Poland.
34. Wang, T-I, Tsai, K-H, Lee, M-C, & Chiu, T-K (2007). Personalized learning objects recommendation based on the semantic-aware discovery and the learner preference pattern. Educational Technology & Society, 10 (3), 84-105.
35. Wang, T-I, Wang, K-T, & Huang, Y-M (2008). Using a style-based ant colony system for adaptive learning. Expert Systems with Applications, 34(4), 2449-2464.
36. Wedde, H.F., & Farooq, M. (2006). A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks. Systems Architecture, 52(8-9), 461-484.
37. Wong L.H., & Looi, C.K. (2002). Learning pathways & intelligent software agents. Unpublished internal document, Institute of Systems Science, National University of Singapore, Singapore.