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Saied, Mohamed
- Blended Learning Model Supported by Recommender System and up-to-date Technologies
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Authors
Mohamed Saied
1,
Mona Nasr
2
Affiliations
1 Canadian International College, Cairo, EG
2 Helwan University, Cairo, EG
1 Canadian International College, Cairo, EG
2 Helwan University, Cairo, EG
Source
International Journal of Advanced Networking and Applications, Vol 10, No 2 (2018), Pagination: 3829-3832Abstract
This paper is describing how to add recommendation resources in Blended learning systems. The Blended learning system is a term increasingly used to describe the way e-learning is being combined with traditional classroom methods and independent study to create a new, which called hybrid teaching methodology. It represents a much greater change in basic technique than simply adding computers to classrooms; it represents, in many cases, a fundamental change in the way teachers and students approach the learning experience. This paper describes how an algorithm can be used to make recommendation of resources in the Blended Learning field.Keywords
Blended Learning, Recommender System, Recommendation Engine, Adaptive Learning System, Virtual learning Environment (VLE).Full Text
References
- Lothridge, Karen; et al. (2013). "Blended learning: efficient, timely, and cost effective.". Journal for Forensic Sciences.
- Jump up to: a b c d e "Five benefits of blended learning - DreamBox Learning". DreamBox Learning. Retrieved 2016-01-28.
- S. Alexander (2010). "Flexible Learning in Higher Education". In Penelope Peterson; Eva Baker; Barry McGaws. International Encyclopedia of Education (Third ed.). Oxford: Elsevier. pp. 441–447. ISBN 9780080448947. doi:10.1016/B978-0-08-044894-7.00868-X.
- Oliver M, Trigwell K (2005). "Can 'Blended Learning' Be Redeemed?" (PDF). E-Learning. 2 (1): 17–26. doi:10.2304/elea.2005.2.1.17.
- Francesco Ricci and LiorRokach and Bracha Shapira, Introduction to Recommender Systems Handbook, Recommender Systems Handbook, Springer, 2011, pp. 1-35
- Montaner, M.; Lopez, B.; de la Rosa, J. L. (June 2003). "A Taxonomy of Recommender Agents on the Internet". Artificial Intelligence Review. 19 (4): 285–330.
- Sultan,T., Nasr, M., Saied, M., Recommender System Role in e-Learning Environment, In the Proceeding of the 2nd International Conference in learning and Distance Education, Riyadh, Saudi Arabia, 21-24 Feb., 2011.
- Nasr, M., Saied, M., A Proposed Framework for an Automatic Recommendation System for eLearning, In the Proceeding of the Sixth International Conference "Education and Scientific Research in the project of the Arab Renaissance of the knowledge society problems and prospects", Organized by the Arab Center for Education and Development with cooperation with the Center of Future Studies of the Egyptian Cabinet Information & Decision Support and the Secretariat of the League of Arab States, Cairo, Egypt, 5 – 7 July, 2011
- Sultan,T., Nasr, M., Saied, M., Smart Recommendation Paradigm for VLE, in the Proceeding of the 2nd IEEE International Conference on e-Education, e-Business, eManagement and E-Learning, IC4E 2011, Catalog Number: CFP1102J-PRT, ISBN: 978-14244-9213-8, Mumbai, India, 7-9 Jan., 2011.
- ElSayed, M., Nasr, M., Sultan,T., Enhancing e-Learning Environment with Embedded Recommender Systems, book entitled, “Information Systems Applications in the Arab Education Sector”, IGI Global Release Date: August, 2012, Copyright © 2013. 398 pages., DOI: 10.4018/978-1-4666-1984-5, ISBN13: 9781466619845, ISBN10: 1466619848, EISBN13: 9781466619852.
- Schein, A., Popescul, A., Ungar, L. and Pennock, D. “Methods and metrics for cold-start recommendations.” In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’02), Tampere, Finland, August 2002.