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A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle

Published: 23 October 2008 Publication History

Abstract

Dynamic support in adaptive inclusive educational systems depends on properly managing the adaptation in the eLearning life cycle by combining design and runtime adaptations and making a pervasive usage of standards along the eLearning life cycle. My Ph.D research focuses on recommender systems for lifelong learning inclusive scenarios, which have particular differences in their need for personalized recommendations. The research presented here makes a proposal for addressing some of the existing challenges. It goes beyond issues that are usually considered when building recommender systems and focuses also on closing the cycle. In particular, I propose a graphical representation that will help to compare the recommenders' performance in eLearning scenarios.

References

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Boticario, J. G., Santos, O. C. 2007. An open IMS-based user modelling approach for developing adaptive learning management systems. Journal of Interactive Media in Education (JIME) September issue.
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Paramythis A., Loidl-Reisinger S., and Kepler J. 2004. Adaptive Learning Environments and e-Learning Standards. Electronic Journal of eLearning, EJEL: Vol 2. Issue 1, March, 2004.
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Santos, O. C., Boticario, J. G. 2008. Recommendations for providing dynamic inclusive learning. Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies, Santander, Spain, 1-5 July, p. 491--495.
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IMS GLC, IMS Access For All. Version 1.0. Final specification. 2004.
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Drachsler, H., Hummel, H. G. K., Koper, R. 2007. Personal recommender systems for learners in lifelong learning: requirements, techniques and model. International Journal of Learning Technology (in press).
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Tang, T. and McCalla, G. 2003. Smart Recommendation for an Evolving E-Learning System. Workshop on Technologies for Electronic Documents for Supporting Learning, International Conference on Artificial Intelligence in Education, Sydney, Australia, 20-24 July, pp.699--710, 2003.
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Santos, O. C., Boticario, J. G. 2008. Recommender Systems for Lifelong Learning inclusive scenarios. In Proceedings of the Workshop on Recommender Systems. ECAI 2008. Patras, Greece, 22 July, p. 45--58.
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Miller, C., Funk, H., Goldman, R., Meisner, J., and Wu, P. 2005. Implications of Adaptive vs. Adaptable UIs on Decision Making: Why "Automated Adaptiveness" is Not Always the Right Answer. In Proceedings of the 1st International Conference on Augmented Cognition, Las Vegas, NV; July 22-27.
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Mungania, P., The Seven E-learning Barriers Facing Employees, Research Report, (2003). Available at: http://www.masie.com/researchgrants/2003/Mungania_Final_Report.pdf
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Cited By

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  • (2019)Disability, ICT and eLearning PlatformsProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3355620(105-111)Online publication date: 24-Oct-2019
  • (2015)Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced LearningIEEE Transactions on Learning Technologies10.1109/TLT.2014.23792618:3(274-285)Online publication date: 1-Jul-2015
  • (2015)Panorama of Recommender Systems to Support LearningRecommender Systems Handbook10.1007/978-1-4899-7637-6_12(421-451)Online publication date: 2015
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  1. A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle

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        cover image ACM Conferences
        RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems
        October 2008
        348 pages
        ISBN:9781605580937
        DOI:10.1145/1454008
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 23 October 2008

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        Author Tags

        1. accessibility
        2. adaptive educational systems
        3. inclusive support
        4. lifelong learning
        5. personalization
        6. recommender systems
        7. standards

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        RecSys08: ACM Conference on Recommender Systems
        October 23 - 25, 2008
        Lausanne, Switzerland

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        Overall Acceptance Rate 254 of 1,295 submissions, 20%

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        Cited By

        View all
        • (2019)Disability, ICT and eLearning PlatformsProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3355620(105-111)Online publication date: 24-Oct-2019
        • (2015)Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced LearningIEEE Transactions on Learning Technologies10.1109/TLT.2014.23792618:3(274-285)Online publication date: 1-Jul-2015
        • (2015)Panorama of Recommender Systems to Support LearningRecommender Systems Handbook10.1007/978-1-4899-7637-6_12(421-451)Online publication date: 2015
        • (2013)Educational Recommender Systems: A Pedagogical-Focused PerspectiveMultimedia Services in Intelligent Environments10.1007/978-3-319-00375-7_8(113-124)Online publication date: 17-May-2013
        • (2012)Survey and Analysis of TEL Recommender SystemsRecommender Systems for Learning10.1007/978-1-4614-4361-2_3(37-61)Online publication date: 28-Aug-2012
        • (2011)Recommendation of Learning Material through Students´ Collaboration and User Modeling in an Adaptive E-Learning EnvironmentTechnology-Enhanced Systems and Tools for Collaborative Learning Scaffolding10.1007/978-3-642-19814-4_12(257-278)Online publication date: 2011
        • (2010)Recommender Systems in Technology Enhanced LearningRecommender Systems Handbook10.1007/978-0-387-85820-3_12(387-415)Online publication date: 5-Oct-2010
        • (2008)Recommending in Inclusive Lifelong Learning ScenariosProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WIIAT.2008.251(651-654)Online publication date: 9-Dec-2008
        • (2008)Modelling recommendations for lifelong learning2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)10.1109/ICADIWT.2008.4664340(174-179)Online publication date: Aug-2008

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