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Baidada, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2022
In education, the needs of learners are different in the majority of the time, as each has specificities in terms of preferences, performance and goals. Recommendation systems have proven to be an effective way to ensure this learning personalization. Already used and tested in other areas such as e-commerce, their adaptation to the educational…
Descriptors: Foreign Countries, Higher Education, Automation, Online Systems
Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
El-Attar, Noha Ezzat; El-Ela, Niveen Abo; Awad, Wael A. – International Journal of Web-Based Learning and Teaching Technologies, 2019
Improving the performance of e-learning services to provide a scalable and effective e-learning system is a big challenge for the educational organizations. The e-learning system faces many challenges in pedagogical services (e.g. learning design and learning content problems), and technical services (e.g. resource provisioning and financial…
Descriptors: Electronic Learning, Individualized Instruction, Virtual Classrooms, Computer System Design