Recommendation Research in E-Learning

Abstract:

This study is a productivity review on the literature gleaned from web of science databases concerning recommendation in E-Learning research. The result indicates that the number of literature productions on this topic is growing in recently 4 years, approximately the same number in 2008, 2009 and 2011. The main research development country is Taiwan, and from the analysis of the distribution of language, English is the most popular language. Moreover the research focuses on are mainly context model and system design to explore fundamental components of E-Learning context and offer a learning environment suitable for users, also the limitations and future research of these research were discussed, so that the direction for future research work can be explored.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 3067-3071
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.3067
• Online since: October 2011
• Authors: Bing Wu, Wen Xia Xu, Jun Ge
• Keywords: Context Model, E-Learning, Future Research, Recommendation, System Design

References

[1] Yanlin Zheng, Yoneo Yano. A framework of context-awareness support for peer recommendation in the e-learning context. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, Vol. 8(2007), pp.197-210.

DOI: 10.1111/j.1467-8535.2006.00584.x

[2] Kozierkiewicz-Hetmanska A. A Method for Scenario Recommendation in Intelligent E-Learning Systems. CYBERNETICS AND SYSTEMS, Vol. 42(2011), pp.82-99.

DOI: 10.1080/01969722.2011.541208

[3] Manouselis N, Vuorikari R, Van Assche F. Collaborative recommendation of e-learning resources: an experimental investigation. JOURNAL OF COMPUTER ASSISTED LEARNING. Vol. 26(2010), pp.227-242.

DOI: 10.1111/j.1365-2729.2010.00362.x

[4] Chu HC, Chen TY, Lin CJ, et al. Development of an adaptive learning case recommendation approach for problem-based e-learning on mathematics teaching for students with mild disabilities. EXPERT SYSTEMS WITH APPLICATIONS, Vol. 36 (2009).

DOI: 10.1016/j.eswa.2008.06.140

[5] Tai DWS, Wu HJ, Li PH. Effective e-learning recommendation system based on self-organizing maps and association mining. ELECTRONIC LIBRARY, Vol. 26(2008), pp.329-344.

DOI: 10.1108/02640470810879482

[6] Klasnja-Milicevic A, Vesin B, Ivanovic M, et al. E-Learning personalization based on hybrid recommendation strategy and learning style identification. COMPUTERS & EDUCATION, VOl. 56(2011), pp.885-899.

DOI: 10.1016/j.compedu.2010.11.001

[7] Gil AB, Garcia-Penalvo FJ. Learner Course Recommendation in e-Learning Based on Swarm Intelligence. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol. 14(2008), pp.2737-2755.

[8] Mohamed Koutheaïr Khribi1, Mohamed Jemni1, Olfa Nasraoui. Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval. Educational Technology & Society, Vol. 12 (2009), p.30–42.

DOI: 10.1109/icalt.2008.198

[9] Bobadilla. et al. Collaborative filtering adapted to recommender systems of e-learning knowledge-based systems, Vol. 22(2009), pp.261-265.

DOI: 10.1016/j.knosys.2009.01.008