Abstract

In this paper, the issue of personalization in e-learning platforms is surveyed, especially how to do the learning contents adaptation according with the user preferences and her interaction with the platform. A proposal of an adaptation process is presented and it includes: (1) the support of machine learning techniques to process information about the user preferences over learning contents and to generate a decision of the contents presentation order; (2) a multiagent system that allows delivering and storing the presentation order obtained in the previous process; (3) a standard user profile that allows saving the user characteristics and preferences and that could be stored in a profile server that follows the guidelines from IMS-LIP (IMS Learner Information Profile) Standard; and (4) a learning unit based on the IMS-LD (IMS Learning Design) standard that can be built and personalized with specific conditions according with the information available in the IMS-LIP server.

Citation

Mejía, C., Baldiris, S., Gómez, S. & Fabregat, R. (2009). Personalization of E-Learning Platforms based on an adaptation process supported on IMS-LIP and IMS-LD. In I. Gibson, R. Weber, K. McFerrin, R. Carlsen & D. Willis (Eds.), Proceedings of SITE 2009--Society for Information Technology & Teacher Education International Conference (pp. 2882-2887). Charleston, SC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved January 22, 2021 from https://www.learntechlib.org/primary/p/31077/.