New perspective of learning objects in e-learning system
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Published:2023-05-19
Issue:3
Volume:40
Page:269-279
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ISSN:2056-4880
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Container-title:The International Journal of Information and Learning Technology
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language:en
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Short-container-title:IJILT
Author:
Amane MeryemORCID, Aissaoui Karima, Berrada Mohammed
Abstract
PurposeTogether, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience.Design/methodology/approachThe development of LOs and e-pedagogical practices have significantly influenced and changed the performance of e-learning systems. LOs are self-contained, reusable units of instructional content that create instructional materials, such as online courses, tutorials and assessments. They provide a flexible and modular approach to designing and delivering e-learning content, allowing educators to easily customise and adapt their materials to the needs of their students. e-pedagogical practices refer to the use of technology to enhance and support the teaching and learning process. They include strategies such as online collaboration, gamification and adaptive learning to improve student engagement, motivation and achievement.FindingsTo achieve this objective, this study consists of two main phases. First, the authors extract metadata from LOs using latent semantic analysis algorithms, which are considered a strong tool in web-mining exploration techniques. Second, they identify LOs according to a particular form of similarity using fuzzy c-means (FCM) algorithms. To improve classification accuracy, the FCM is used as a clustering algorithm.Originality/valueFinally, in order to assess the effectiveness of LOs with FCM, a series of experimental studies using a real-world dataset are conducted. The results of this study indicate that the proposed approach exceeds the traditional approach and produces good results.
Subject
Computer Science Applications,Education
Reference35 articles.
1. Enhancing learning object repositories with ontologies,2021 2. Behr, A., Cascalho, J., Mendes, A., Guerra, H., Cavique, L., Trigo, P., Coelho, H. and Vicari, R. (2022), “Bringing underused learning objects to the light: a multi-agent based approach”, in Marreiros, G., Martins, B., Paiva, A., Ribeiro, B. and Sardinha, A. (Eds), Progress in Artificial Intelligence, Springer International Publishing, Cham, pp. 751-763. 3. FCM: the fuzzy c-means clustering algorithm;Computers and Geosciences,1984 4. Brien, E.O. (2020), “Enhancing 21st century learning using digital learning objects and multiple intelligence theory: a conceptual model”, Zheng, R.Z. (Ed.), Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities, IGI Global, Hershey, PA, pp. 19-40, doi: 10.4018/978-1-7998-0249-5.ch002. 5. Bulaeva, M.N., Vaganova, O.I., Koldina, M.I., Lapshova, A.V. and Khizhnyi, A.V. (2018), “Preparation of bachelors of professional training using MOODLE”, in Popkova, E.G. (Ed.), The Impact of Information on Modern Humans, Springer International Publishing, Cham, pp. 406-411.
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