Artificial Intelligence System in Aid of Pedagogical Engineering for Knowledge Assessment on MOOC Platforms: Open EdX and Moodle

Authors

  • Younes-Aziz Bachiri Laboratory of Innovation in Mathematics, Applications, and Information Technologies.Sultan Moulay Slimane University Beni Mellal, Morocco https://orcid.org/0000-0002-1834-9724
  • Hicham Mouncif Laboratory of Innovation in Mathematics, Applications, and Information Technologies.Sultan Moulay Slimane University Beni Mellal, Morocco https://orcid.org/0000-0003-3312-8230

DOI:

https://doi.org/10.3991/ijet.v18i05.36589

Keywords:

MOOC, E-Learning, Automatic question generation, Machine learning, multiple choice questions, Natural language processing

Abstract


The aim of this research is to provide a novel educational model with the goal of reducing the expenses associated with manual question production and meeting the demand for a continual supply of new questions on MOOC platforms such as Moodle or Open EDX. We considered integrating machine-learning methods with natural language processing in order to increase the number and validity of assessing questions. To accomplish this, we developed a system that generates multilingual questions automatically.

Various kinds of evaluation were conducted with two factors in mind: evaluating MOOC learners' competency and the similarity of the generated questions to those created by humans. The first evaluation is based on subjective judgment by three MOOC creators, while the second is based on replies from MOOC participants on machine-generated and human-created questions. Both evaluations revealed that the machine-generated questions performed on par with the human-created questions in terms of evaluating skills and similarity. Moreover, the results demonstrate that most of the produced questions (up to 82 percent) enhance e-assessment when the new suggested technology is used.

Author Biographies

Younes-Aziz Bachiri, Laboratory of Innovation in Mathematics, Applications, and Information Technologies.Sultan Moulay Slimane University Beni Mellal, Morocco

Younes-Aziz Bachiri is a doctoral candidate at the Faculty of Sciences and Technology, University Sultan Moulay Slimane. With over 11 years of experience teaching computer science in Moroccan high schools, he is working on his PhD in education and artificial intelligence. He helped make a number of MOOC projects happen and managed the open edx platform for the university.

Hicham Mouncif , Laboratory of Innovation in Mathematics, Applications, and Information Technologies.Sultan Moulay Slimane University Beni Mellal, Morocco

Hicham Mouncif Professor  and Ph.D. Supervisor in the Department of Computer Sciences, Polydisciplinary Faculty of Beni Mellal , University Sultan Moulay Slimane, has already published many academic papers in distinguished journals based on teaching and research experience. Computer Systems Engineering Master's Coordinator His research interests include educational technologies, machine learning, transportation networking, and routing protocols.

Cover iJET Vol. 18 No. 05 (2023)

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Published

2023-03-07

How to Cite

Bachiri, Y.-A., & Mouncif , H. . (2023). Artificial Intelligence System in Aid of Pedagogical Engineering for Knowledge Assessment on MOOC Platforms: Open EdX and Moodle. International Journal of Emerging Technologies in Learning (iJET), 18(05), pp. 144–160. https://doi.org/10.3991/ijet.v18i05.36589

Issue

Vol. 18 No. 05 (2023)

Section

Papers

License

Copyright (c) 2023 P. Younes-Aziz BACHIRI, Dr .Hicham MOUNCIF

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