Integrating AI Applications into Learning Management Systems to Enhance e-Learning
Abstract
Artificial intelligence technologies have the potential to greatly enhance the organization of learning management systems and online learning experiences. In particular, the public release of OpenAI's GPT-3 model in December 2022 has given society a chance to learn more about the current status of artificial intelligence. There have been much research on the use of artificial intelligence in e-learning processes, but very few of them demonstrate how to integrate these applications step-by-step and with examples into learning management systems. This study intends to close this gap by demonstrating how artificial intelligence technologies are integrated into learning management systems using real-world examples. This study provides examples of practical applications as well as integration steps. Finally, GPT-3 plugins for Moodle are examined and sample JavaScript code is included for integrating Chat GPT into Moodle. By presenting a useful guide for integrating artificial intelligence technology into learning management systems, this work adds to the body of literature.
Keywords
Supporting Institution
Yok
Project Number
Yok
References
- Başkaya, F., & Karacan, H. (2022). Yapay Zekâ Tabanlı Sistemlerin Kişisel Veri Mahremiyeti Üzerine Etkisi: Sohbet Robotları Üzerine İnceleme. Bilişim Teknolojileri Dergisi, 15(4), 481-491.
- Bearman, M., Nieminen, J. H., & Ajjawi, R. (2022). Designing assessment in a digital world: an organising framework. Assessment & Evaluation in Higher Education, 1-14.
- Bennani, S., Maalel, A., & Ben Ghezala, H. (2022). Adaptive gamification in E‐learning: A literature review and future challenges. Computer Applications in Engineering Education, 30(2), 628-642.
- Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. john Wiley & sons.
- Eggmann, N. (2022). Not Plug-and-Play: Successful Adoption of an AI-Based Learning Experience Platform. In Artificial Intelligence Education in the Context of Work (pp. 215-226). Cham: Springer International Publishing.
- Fariani, R. I., Junus, K., & Santoso, H. B. (2022). A Systematic Literature Review on Personalised Learning in the Higher Education Context. Technology, Knowledge and Learning, 1-28.
- Firat, M. (2023, January 12). How Chat GPT Can Transform Autodidactic Experiences and Open Education?. https://doi.org/10.31219/osf.io/9ge8m
- Kothari, G., & Verma, B. L. (2022). AI‐Implanted E‐Learning 4.0: A New Paradigm in Higher Education. Impact of Artificial Intelligence on Organizational Transformation, 305-325.
- Manciaracina, A. (2022). How to Design Learning Using Technology and Users’ Needs?. In Designing Hybrid Learning Environments and Processes: Interactive Communication Tools for Active Learning (pp. 93-128). Cham: Springer International Publishing.
- Pardamean, B., Suparyanto, T., Cenggoro, T. W., Sudigyo, D., Anugrahana, A., & Anugraheni, I. (2021, August). Model of Learning Management System Based on Artificial Intelligence in Team-Based Learning Framework. In 2021 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 37-42). IEEE.
