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E-Learning & decision making system for automate students assessment using remote laboratory and machine learning
Open accessAbstract
This paper describes an implementation of a remote laboratory system for the practical works (PW) of electronics, this system make available to target and analysis the gaps, weaknesses and lack of scientific knowledge of students in the context of electric engineering through data mining algorithms and students’ study behavior. Experimental work has traditionally been developed in laboratories. However, the increase in the number of higher education students in the last decades has put pressure on the physical structures and resources of laboratories. To overcome this, computational simulations and remote laboratories have been developed enabling the expansion of educational boundaries. this paper provides new opportunities to enhance the student’s learning process. The results are presented and discussed according to two levels. The first is development a complete system of remote laboratory E@Slab and compare it with the related work. second level, we present an algorithms of Intelligence Artificial that automate evaluation and classify students in different groups attending to an assessment rubric. After this classification we compare the obtained results from algorithms of Intelligence Artificial with the levels obtained from interviews with the students and from the practical work review for to be a validation of sorts. Finally we compare the two results and we remark that algorithm classifies correctly the students with an accuracy of more than 90%.
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“AI was used to assess and provide feedback on students' group work (viz., Ouatik etal., 2021).”
From Artificial intelligence in higher education: the state of the field (2023) · cites this paper as Ouatik et al., 2021
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Artificial intelligence in higher education: the state of the field
Crompton, H., & Burke, D. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00392-8 · Cited by 2,010
Rangel-de Lázaro, G., & Duart, J. M. (2023) · Sustainability · doi:10.3390/su15043507 · Cited by 95
Wang, K., Mirosa, M., Hou, Y., & Bremer, P. J. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.105050 · Cited by 40
Zhang, L., Yang, C., & Zheng, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1710983 · Cited by 73
AI-Driven Decision-Making Applications in Higher Education
Lestari, R., Windarwati, H. D., & Hidayah, R. (2024) · Advances in media, entertainment and the arts (AMEA) book series · doi:10.4018/979-8-3693-0639-0.ch011 · Cited by 13
The Positive Impact of Artificial Intelligence on Education
Gourari, A. E., Raoufi, M., Skouri, M., Braim, A. A. B., Ezzini, M., Lahcen, Y. A., & Achki, S. (2024) · International Conference on Global Aeronautical Engineering and Satellite Technology (GAST) · doi:10.1109/gast60528.2024.10520786 · Cited by 4
Self-citationProdromou, A., & Kountouridou, M. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9040-5.ch017 · Cited by 3
Enhancing Digital Education in Electricity Through an AI Avatar with RAG and Fine-Tuned LLMs
Gourari, A. E., Zennir, A., Raoufi, M., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18857-1_41
Self-citationGourari, A. E., Idrissi, M., Raoufi, M., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18857-1_19
Self-citationGourari, A. E., Ezzini, M., Ennejjar, M., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18857-1_23
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Metadata
- Authors
- Ouatik, F., Raoufi, M., Ouatik, F., & Skouri, M.
- Affiliations
- Cadi Ayyad University (MA)
- Université Sultan Moulay Slimane (MA)
- ORCID
- Raoufi, Mustapha
- Venue
- Journal of e-Learning and Knowledge Society
- Publisher
- Journal of e-Learning and Knowledge Society
- Published
- 2021-07-27
- OpenAlex
- W4385790030
- Cited by
- 11
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2023: 2
- FWCI
- 0.26
- Type
- journal article
- Language
- en
- Open access
- green
- doaj.org
- Licence
- Locations
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Società Italiana di e-Learning
- Topics
- Social Sciences › Education › Experimental Learning in Engineering
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Keywords
- remote laboratory, online learning, student classification, machine learning, data mining, student learning behavior, assessment rubrics
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