The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Building a recommender agent for e-learning systems
Abstract
A recommender system in an e-learning context is a software agent that tries to "intelligently" recommend actions to a learner based on the actions of previous learners. This recommendation could be an on-line activity such as doing an exercise, reading posted messages on a conferencing system, or running an on-line simulation, or could be simply a web resource. These recommendation systems have been tried in e-commerce to entice purchasing of goods, but haven't been tried in e-learning. This paper suggests the use of web mining techniques to build such an agent that could recommend on-line learning activities or shortcuts in a course web site based on learners' access history to improve course material navigation as well as assist the online learning process. These techniques are considered integrated web mining as opposed to off-line web mining used by expert users to discover on-line access patterns.
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Cites
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Self-citationVisualization of navigation patterns on a Web site using model-based clustering
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Self-citation
Cited by
Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.03.012 · Cited by 3,158
Educational Data Mining: A review of the state of the art
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Romero, C., & Ventura, S. (2013) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1075 · Cited by 869
E-Learning personalization based on hybrid recommendation strategy and learning style identification
Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.11.001 · Cited by 580
Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.007 · Cited by 564
Metadata
- Authors
- Zaiane, O. R.
- Venue
- International Conference on Computers in Education, 2002. Proceedings.
- Publisher
- IEEE Comput. Soc
- Published
- 2003-06-26
- Volume
- 1
- Pages
- 55-59
- OpenAlex
- W2101780042
- Cited by
- 386
- References
- 12
- FWCI
- 7.45
- Type
- conference paper
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
