Revolutionizing Online Learning: The Potential of ChatGPT in Massive Open Online Courses



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Submitted May 13, 2023
Published Jul 3, 2023
10.24018/ejedu.2023.4.4.686

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This paper explores the potential of ChatGPT, a language model based on the GPT-3.5 architecture, in revolutionizing the online learning experience. The paper highlights the benefits and challenges associated with MOOCs, such as their lack of personalized support and feedback, and introduces ChatGPT as a solution to some of these challenges. The paper discusses the capabilities of ChatGPT, such as language understanding, response generation, personalization, and continuous learning. A series of experiments are conducted to measure the accuracy and effectiveness of ChatGPT in answering questions from various subject areas and difficulty levels in two popular MOOCs platforms, edX and Coursera. The potential impact of ChatGPT on students' learning skills is also discussed. The findings of this paper provide valuable insights for educators, policymakers, and students who are interested in exploring the role of technology in education and the impact it may have on the future of learning.
Keywords: ChatGPT Coursera edX Massive Open Online Courses (MOOCs) Online Learning

References

  1. Abdullah, M., Madain, A., & Jararweh, Y. (2022). ChatGPT: Fundamentals, Applications and Social Impacts. In 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp. 1-8). IEEE.
     Google Scholar
  2. Alario-Hoyos, C., Estévez Ayres, I. M., San Agustin, M. P., Leony Arreaga, D. A., Delgado Kloos, C. (2015). MyLearningMentor: A mobile app to support learners participating in MOOCs.
     Google Scholar
  3. Castillo, N. M., Lee, J., Zahra, F., & Wagner, D. (2015) MOOCS for development: Trends, challenges, and opportunities. International Technologies & International Development, 11(2), 35.
     Google Scholar
  4. Coursera Degrees, Certificates, & Free Online Courses. Retrieved April 1, (2023), from: https://www.coursera.org/.
     Google Scholar
  5. Dafauti, B. S. (2023). Comparison of MOOC Platforms in India. International Journal of Educational Communications and Technology, 3(1), 34-41.
     Google Scholar
  6. edX. edX Build new skills. Advance your career. Retrieved April 1, (2023), from: https://www.edx.org.
     Google Scholar
  7. Gaebel, M. (2014). MOOCs: Massive open online courses, Vol. 11). Geneva: EUA.
     Google Scholar
  8. Gilson, A., Safranek, C.W., Huang, T., Socrates, V., Chi, L., Taylor, R.A., Chartash, D. (2023). How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Med Educ., 8(9), e45312. doi: 10.2196/45312.
     Google Scholar
  9. Hamori, M. (2023). Self-directed learning in massive open online courses and its application at the workplace: Does employer support matter? Journal of Business Research, 157, 113590.
     Google Scholar
  10. Hayes, S. (2015). MOOCs and quality: A review of the recent literature.
     Google Scholar
  11. Hoy, M. B. (2014). MOOCs 101: an introduction to massive open online courses. Medical reference services quarterly, 33(1), 85-91.
     Google Scholar
  12. Jiménez, V. P. G., Urquiza Villalonga, D. A., López Morales, M. J., Medda, D., Seitianitis, I.-N., Al-Sakkaf, A. G., Khan, B., et al. (2023). MOOC as a Way of Dissemination, Training and Learning of Telecommunication Engineering. In Massive Open Online Courses-Current Practice and Future Trends. IntechOpen.
     Google Scholar
  13. Kalla, D., & Smith, N. (2023). Study and Analysis of Chat GPT and its Impact on Different Fields of Study. International Journal of Innovative Science and Research Technology, 8(3).
     Google Scholar
  14. Laaser, W. (2023). The rise and fall of the “Massively Open Online Courses”. South Eastern European Journal of Public Health.
     Google Scholar
  15. Lallé, S., & Conati, C. (2020). A data-driven student model to provide adaptive support during video watching across MOOCs. In Artificial Intelligence in Education: 21st International Conference, AIED, 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I 21 (pp. 282-295). Springer International Publishing.
     Google Scholar
  16. Stracke, C.M., Bozkurt, A., Burgos, D. (2023). Typologies of (Open) Online Courses and Their Dimensions, Characteristics and Relationships with Distributed Learning Ecosystems, Open Educational Resources, and Massive Open Online Courses. In: Otto, D., Scharnberg, G., Kerres, M., Zawacki-Richter, O. (eds) Distributed Learning Ecosystems. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-38703-7_5.
     Google Scholar
  17. Sunar, A. S., Abdullah, N. A., White, S., & Davis, H. (2015). Personalisation of MOOCs: The state of the art.
     Google Scholar
  18. Sun, G. H., & Hoelscher, S. H. (2023). The ChatGPT storm and what faculty can do. Nurse Educator, 10-1097.
     Google Scholar
  19. Weinhardt, J. M., & Sitzmann, T. (2019). Revolutionizing training and education? Three questions regarding massive open online courses (MOOCs). Human resource management review, 29(2), 218-225.
     Google Scholar