Author: Al-Chalabi, H. K. M.
Title: Evaluation of a Multi-Parameter E-learning System using Web 3.0 Technologies Cord-id: r4ywcp6o Document date: 2021_1_1
ID: r4ywcp6o
Snippet: Research into personalized e-learning applications has become very relevant recently, especially after the COVID-19 pandemic. E-learning is quickly becoming a necessary part of learning in the educational sector. This paper presents an evaluation of a previously proposed adaptive E-learning platform that supports multi-personalization parameters and standardization across multiple learning management systems using semantic web technologies. Twentyone teachers participated and expressed their lev
Document: Research into personalized e-learning applications has become very relevant recently, especially after the COVID-19 pandemic. E-learning is quickly becoming a necessary part of learning in the educational sector. This paper presents an evaluation of a previously proposed adaptive E-learning platform that supports multi-personalization parameters and standardization across multiple learning management systems using semantic web technologies. Twentyone teachers participated and expressed their level of satisfaction towards the proposed system in the evaluation process. Questions from the Technology Acceptance Model (TAM) questionnaire were used to measure the usefulness of the application, ease of use, intention to use, and attitude towards using. The results show a good level of acceptance and agreeableness with the approach of this application in personalizing materials to learners in the e-learning environment. © 2021 IEEE.
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