Abstract
A huge relevance has been observed in ontologies as a developing technology within the E-learning. Its groundwork paved the way for ontologies improvement and systems that use ontologies in different areas; E-learning is one of these systems. In This article, a recommendation data model is proposed, which takes the student activities and behavior of the social networks to enhance his/her account. The proposed model identifies both the student activities and behavior based on the development of two-dimensional ontologies. The first dimension is the social networks and the second one is the student portal, in anther word learning management system (LMS). The proposed model utilizes data from student engagement with the E-learning management system (Build activities) and the social network (Build behavior), Facebook. The model helps students identifies students’ profile enhances the learning progress and improves learning quality. The model also provides vital information for educators, equipping them with a better understanding of each student’s personality. A new technique for improves user profile based on students’ behavior to social media and students’ activates in LMS.
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Al-Mamoori, H.A.A., Shehab, M.E., El Fakharany, E. (2018). Student Profile in E-learning Environment Based on Two-Dimensional Ontologies. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_30
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DOI: https://doi.org/10.1007/978-3-319-74690-6_30
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