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User-Adaptive Recommendation Techniques in Repositories of Learning Objects: Combining Long-Term and Short-Term Learning Goals

Published: 02 October 2009 Publication History

Abstract

In this paper we describe a novel approach that fosters a <em>strong</em> personalized content-based recommendation of LOs. It gives priority to those LOs that are most similar to the student's short-term learning goals (the concepts that the student wants to learn in the session) and, at the same time, have a high pedagogical utility in the light of the student's cognitive state (long-term learning goals). The paper includes the definition of a flexible metric that combines the similarity with the query and the pedagogical utility of the LO.

References

[1]
Farzan, R., Brusilovsly, P.: Social navigation support in a course recommender system. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 91-100. Springer, Heidelberg (2006)
[2]
O' Mahony, M., Smyth, B.: A Recommender System for On-line Course Enrolment: An Initial Study. In: ACM Conference on Recommender Systems, pp. 133-136. ACM, Minneapolis (2007)
[3]
Gómez-Albarrán, M., Jiménez-Díaz, G.: Recommendation and Students' Authoring in Repositories of Learning Objects: A Case-Based Reasoning Approach. International Journal on Emerging Technologies in Learning 4(Special issue), 35-40 (2009)
[4]
Draschler, H., Hummel, H., Koper, R.: Recommendations for learners are different: Applying memory-based recommender systems techniques to lifelong learning. In: Workshop on Social Information Retrieval for Technology-Enhanced Learning (2007)
[5]
González-Calero, P., Díaz-Agudo, B., Gómez-Albarrán, M.: Applying DLs for Retrieval in Case-Based Reasoning. In: International Workshop on Description Logics, pp. 51-55 (1999)
[6]
Siemer, J., Angelides, M.C.: Towards an Intelligent Tutoring System Architecture that Supports Remedial Tutoring. Artificial Intelligence Review 12(6), 469-511 (1998)
[7]
Ruiz-Iniesta, A., Jiménez-Díaz, G., Gómez-Albarrán, M.: Recommendation in Repositories of Learning Objects: A Proactive Approach that Exploits Diversity and Navigation-by-Proposing. In: IEEE International Conference on Advanced Learning Technologies. IEEE Computer Society Publications, California (2009)

Cited By

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  • (2011)Usage contexts for object similarityProceedings of the 1st International Conference on Learning Analytics and Knowledge10.1145/2090116.2090127(81-85)Online publication date: 27-Feb-2011
  1. User-Adaptive Recommendation Techniques in Repositories of Learning Objects: Combining Long-Term and Short-Term Learning Goals

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    Published In

    cover image Guide Proceedings
    EC-TEL '09: Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
    October 2009
    810 pages
    ISBN:9783642046353
    • Editors:
    • Ulrike Cress,
    • Vania Dimitrova,
    • Marcus Specht

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 02 October 2009

    Author Tags

    1. Content-based Recommendation Techniques
    2. Learning Objects
    3. Personalization
    4. User-adaptive Learning

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    • (2011)Usage contexts for object similarityProceedings of the 1st International Conference on Learning Analytics and Knowledge10.1145/2090116.2090127(81-85)Online publication date: 27-Feb-2011

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