Artificial Intelligence Empowers Gamification: Optimizing Student Engagement and Learning Outcomes in E-learning and MOOCs

Authors

  • Younes-Aziz Bachiri Laboratory of Mathematics Innovation and Information Technology (LIMATI), Sultan Moulay Slimane University, Beni Mellal, Morocco https://orcid.org/0000-0002-1834-9724
  • Hicham Mouncif Laboratory of Mathematics Innovation and Information Technology (LIMATI), Sultan Moulay Slimane University, Beni Mellal, Morocco https://orcid.org/0000-0003-3312-8230
  • Belaid Bouikhalene Laboratory of Mathematics Innovation and Information Technology (LIMATI), Sultan Moulay Slimane University, Beni Mellal , Morocco https://orcid.org/0000-0002-6458-0919

DOI:

https://doi.org/10.3991/ijep.v13i8.40853

Keywords:

MOOC, Gamification, Assessment, Automatic question generation, Natural language processing, E-Learning, ChatGPT, multiple choice questions

Abstract


In this era of Artificial Intelligence (AI) growth, characterized by advances in the Large Language Models (LLMs) used by ChatGPT and Bard, this study examines the effects of gamification and Automatic Question Generation (AQG) on student engagement and learning outcomes in the context of a Massive Open Online Course (MOOC). AQG, implemented via a Moodle plugin, transforms conventional assessments into an interactive, gamified experience, leveraging the “test effect” to improve learning outcomes. Research with 100 fifth-graders in a primary and secondary school shows that gamified assessments significantly boost student motivation and learning outcomes compared with traditional methods. The custom Moodle plugin facilitates the AQG process, generating contextually relevant and grammatically correct Multiple-Choice Questions (MCQs) from course content. The result is a dynamic, personalized assessment experience aimed at optimizing student retention. This paper concludes by discussing the implications of the study for educators and highlighting potential directions for future research.

Author Biographies

Younes-Aziz Bachiri, Laboratory of Mathematics Innovation and Information Technology (LIMATI), Sultan Moulay Slimane University, Beni Mellal, Morocco

Younes-Aziz Bachiri is a researcher in the field of education and artificial intelligence, affiliated with the prestigious Laboratory of Innovation in Mathematics, Applications, and Information Technologies at Sultan Moulay Slimane University Beni Mellal, Morocco. With over a decade of experience teaching computer science at Moroccan high schools. Notably, he has administrated several Massive Open Online Course (MOOC) projects and has managed the open edx platform for his university.

Hicham Mouncif, Laboratory of Mathematics Innovation and Information Technology (LIMATI), 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.

Belaid Bouikhalene, Laboratory of Mathematics Innovation and Information Technology (LIMATI), Sultan Moulay Slimane University, Beni Mellal , Morocco

Belaid Bouikhalene Professor (Distinguished) and Ph.D., Director of the Digitalization Division, whose mission is to design, develop, and implement the university's information system and to support the university's services and university establishments for the development of its information system. The university uses digital technology in its teaching, research, and running the business side of things. He has already published over 130 academic papers in distinguished journal

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Published

2023-12-14

How to Cite

Bachiri, Y.-A., Mouncif, H., & Bouikhalene, B. (2023). Artificial Intelligence Empowers Gamification: Optimizing Student Engagement and Learning Outcomes in E-learning and MOOCs . International Journal of Engineering Pedagogy (iJEP), 13(8), pp. 4–19. https://doi.org/10.3991/ijep.v13i8.40853

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Papers