An analysis of the research on adaptive Learning: The next generation of e-learning

WSEAS Transactions on Information Science and Applications

Volumn 5, Issue 6, 2008, Pages 859-868

  Verdú, Elena ^a   Regueras, Luisa M ^a   Verdú, María Jesús ^a   De Castro, Juan Pablo ^a   Pérez, María Ángeles ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Adaptive hypermedia systems; Adaptive learning; E learning; Intelligent collaborative learning; Intelligent educational systems; Intelligent tutoring systems; Learning effectiveness

Indexed keywords

COMPUTER AIDED INSTRUCTION; E-LEARNING; EDUCATION; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; INTERNET; LEARNING SYSTEMS; MULTIMEDIA SYSTEMS; STANDARDS; STUDENTS;

ADAPTIVE HYPERMEDIA SYSTEMS; ADAPTIVE LEARNING; ADAPTIVE LEARNING SYSTEMS; COLLABORATIVE LEARNING SYSTEMS; FUTURE TRENDS; INTELLIGENT COLLABORATIVE LEARNING; INTELLIGENT E-LEARNING SYSTEMS; INTELLIGENT EDUCATIONAL SYSTEMS; INTELLIGENT TUTORING SYSTEMS; LEARNING EFFECTIVENESS; LEARNING PROCESSES;

ADAPTIVE SYSTEMS;

EID: 48849105948     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (47)

1. Kelly, D. and Tangney, B., Adapting to intelligence profile in an adaptive educational system, Interacting with Computers, Vol. 18, No. 3, 2006, pp. 385-409.
2. Lee, M.-G., Profiling students' adaptation styles in Web-based learning, Computers & Education, Vol. 36, No. 2, 2001, pp. 121-132.
3. Brusilovsky, P. and Peylo, C., Adaptive and Intelligent Web-based Educational Systems, International Journal of Artificial Intelligence in Education, Vol. 13, 2003, pp. 156-169.
4. Mödritscher, F., Implementation and Evaluation of Pedagogical Strategies in Adaptive E-Learning Environments, Doctoral Study at the Graz University of Technology, 2007.
5. Brusilovsky, P., Methods and Techniques of Adaptive Hypermedia, Adaptive Hypertext and Hypermedia, London: Kluwer Academic Publishers, 1998, pp. 1-43.
6. Hwang, G-J., A conceptual map model for developing intelligent tutoring systems, Computers & Education, Vol. 40, No. 3, 2003, pp. 217-235.
7. Lanzilotti, R. and Roselli, T., An Experimental Evaluation of Logiocando, an Intelligent Tutoring Hypermedia System, International Journal of Artificial Intelligence in Education, No. 17, 2007, pp. 41-56.
8. Chang, Y-H., Lu, T-Y. and Fang, R-J., An Adaptive E-Learning System Based on Intelligent Agents, Proc. of the 6th WSEAS International Conference on Applied Computer Science, 2007, pp. 200-205.
9. Kavcic, A., Fuzzy User Modeling for Adaptation in Educational Hypermedia. IEEE Transactions on Systems, Man, And Cybernetics, Vol. 34, No. 4, 2004, pp. 439-449.
10. Guzmán, E., Conejo, R. and Pérez-de-la-Cruz, J.L., Improving Student Performance using Self-Assessment Tests, IEEE Intelligent Systems, No. 22, 2007, pp. 46-52.
11. Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L. and Ríos, A., SIETTE: A Web-Based Tool for Adaptive Testing, International Journal of Artificial Intelligence in Education, No. 14, 2004, pp. 29-61.
12. Tai, D. W-S., Tsai, T-A. and Chen, F. M-C., Performance Study on Learning Chinese Keyboarding Skills Using the Adaptive Learning System, Global Journal of Engineering Education, Vol. 5, No. 2, 2001, pp. 153-161.
13. Nirmalakhandan, N., Computerized adaptive tutorials to improve and assess problem-solving skills, Computers & Education, Vol. 49, 2007, pp. 1321-1329.
14. Lo, J-J., Wang, H-M. and Yeh, S-W., Effects of confidence scores and remedial instruction on prepositions learning in adaptive hypermedia, Computers & Education, Vol. 42, 2004, pp. 45-63.
15. Chen, C-M.. Lee, H-M. and Chen, Y-H., Personalized e-learning system using Item Response Theory, Computers & Education, Vol. 44, No. 3, 2005, pp. 237-255.
16. Muñoz, F. and Ortigosa, A., Using Adaptive Hypermedia to Support Diversity in Secondary Schools, Proc. of the 6th International Conference on Advanced Learning Technologies, 2006, pp. 1055-1059.
17. Tseng, J. C. R., Chu, H-C., Hwang, G-J., Tsai, C-C., Development of an adaptive learning system with two sources of personalization information, Computers & Education, 2007, doi:10.1016/ j.compedu.2007.08.002.
18. Hatzilygeroudis, I. Giannoulis, C. and Koutsojannis, C., Combining Expert Systems and Adaptive Hypermedia Technologies in a Web, Based Educational System, Proc. of the 5th IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005, pp. 249-253.
19. Own, Z., The Application of an Adaptive, Web-based Learning Environment on Oxidation- reduction Reactions, International Journal of Science and Mathematics Education, Vol. 4, No. 1, 2006, pp. 73-96.
20. Conlan, O., The Multi-Model, Metadata driven approach to Personalised eLearning Services, PhD thesis, University of Dublin, Trinity College, Dublin, Ireland, 2005.
21. Dagger, D., Conlan, O. and Wade, V., Fundamental Requirements of Personalised eLearning Development Environments, Proc. of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 2005, pp. 2746-2754.
22. Van Rosmalen, P., Vogten, H., Van Es, R., Passier, H., Poelmans, P. and Koper, R., Authoring a full life cycle model in standards-based, adaptive e-learning, Educational Technology & Society, Vol. 9, No. 1, 2006, pp. 72-83.
23. Fuentes, C., Carrión, M. J., Arana, C., Boticario, J. G., Barrera, C., Santos O. C., Van Rosmalen, P., Schmidt, J. A., Hoke, I., Barros, F. and Canada, R., aLFanet D66 - Evaluation Results, Project Deliverable Report, 2005. Available at: http://rtd.softwareag.es/alfanet/
24. Santos, O. C., Boticario, J. G. and Barrera, C., The Standards-based Architecture of the Adaptive Learning Environment aLFanet, WSEAS Transactions on Computers, No. 6, Vol. 3, 2004, pp. 1814-1818.
25. Yacef, K., The Logic-ITA in the classroom: a medium scale experiment, International Journal of Artificial Intelligence in Education, No. 15, 2005, pp. 41-60.
26. Suraweera, P. and Mitrovic, A., An Intelligent Tutoring System for Entity Relationship Modelling, International Journal Artificial Intelligent in Education, Vol. 14, No. 3-4, 2004, pp. 375-417.
27. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A. and Wintersgill, M., The Andes Physics Tutoring System: Lessons Learned, International Journal of Artficial Intelligence in Education, Vol. 15, No. 3, 2005, pp. 678-685.
28. Koedinger, K. R., Anderson, J. R., Hadley, W. H. and Mark, M. A., Intelligent tutoring goes to school in the big city, International Journal of Artificial Intelligence in Education, Vol. 8, No. 1, 1997, pp. 30-43.
29. Hwang, G. J., Gray Forecast Approach for Developing Distance Learning and Diagnostic Systems, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 37, No. 1, 2007, pp. 98-108.
30. Mayo, M. and Mitrovic, A., Optimising ITS Behaviour with Bayesian Networks and Decision Theory, International Journal of Artificial Intelligence in Education, No. 12, 2001, pp. 124-153.
31. Albacete, P. L. and VanLehn,K. A., Evaluating the Effectiveness of a Cognitive Tutor for Fundamental Physics Concepts, Proc. of the 22nd Annual Meeting of the Cognitive Science Society, 2000, pp. 25-30.
32. Jong, B-S., Chan, T-Y., Wu, Y-L. and. Lin, T-W., Applying the Adaptive Learning Material Producing Strategy to Group Learning, Lecture Notes in Computer Science (LNCS), Vol. 3942, 2006, pp. 39-49.
33. Wei, F-H., Lee, L-Y. and Chen, G-D., Supporting adaptive mentor by student preference within context of problem-solving learning, Proc. of the 4th IEEE International Conference on Advanced Learning Technologies (ICALT'04), 2004, pp. 789-791.
34. Chen, G. D., Chang, C. K. and Wang, C. Y., Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques, Computers & Education, Vol. 50, 2008, pp. 77-90.
35. Coe, R., It's the Effect Size, Stupid: What effect size is and why it is important, Annual Conference of the British Educational Research Association, September 2002.
36. Thalheimer, W. and Cook, S., How to calculate effect sizes from published research: A simplified methodology, A Work-Learning Research Publication, 2002. Available at: http://work-learning.com/ effect_sizes.htm
37. Cohen, J., A power primer. Psychological Bulletin, No. 112, 1992, pp. 155-159.
38. Prince, M., Does Active Learning Work? A Review of the Research. Journal. Engineering Education, Vol. 93, No. 3, pp. 223-231, 2004.
39. Bures, E. M., Abrami, P. C. and Amundsen, C., Student motivation to learn via computer conferencing, Research in Higher Education, Vol. 41, No. 5, 2000, pp. 593-621.
40. Swan, K., Shea, P., Fredericksen, E., Pickett, A. and Petz, W. E., Course design factors influencing the success of online learning, Proc. of WebNet - World Conference on the WWW and Internet, 2000, pp. 513-518.
41. Levy, Y., Comparing dropouts and persistence in e-learning courses, Computers & Education, Vol. 48, 2007, pp. 185-204.
42. Kuh, G. D., Assessing what really matters to student learning: Inside the National Survey of Student Engagement, Change, Vol. 33, No. 3, 2001, pp. 10-17.
43. National Survey of Student Engagement, Engaged Learning: Fostering Success for All Students, Annual Report 2006. Available at: http;// nssc.iub.edu/NSSP_2006_Annual_Report/docs/NSSE_2006_Annual_Report.pdf
44. Al-Dujaily, A., and Ryu, H., A Relationship between e-Learning Performance and Personality, Proc. of the 6th International Conference on Advanced Learning Technologies (ICALT'06), 2006, pp. 84-86.
45. Verdú, E., Regueras, L. M., Verdú, M. J., Pérez, M. A. and de Castro, J. P., Improving the Higher Education through Technology-based Active Methodologies: A Case Study, WSEAS Transactions on Advances in Engineering Education, Vol. 3, No. 7, 2006, pp. 649-656.
46. Kuitunen, P., Honkaranta, A. and Salonen, K., Ontologies and metadata for E-Learning environments in Ecological and Environmental science, WSEAS Transactions on Advances in Engineering Education, Vol. 5, No. 1, 2008, pp. 29-42.
47. Soo-Hwan, K., HyeonCheol, K., Jin-Tae, L., Seon-Kwan, H. and Chul-Hyun L., A Design of u-Learning System based on Memory Theories in Ubiquitous Environments, WSEAS Transactions on Advances in Engineering Education, Vol. 5, No. 2, 2008, pp. 77-82.