International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
권호 표지
DOI QR코드

DOI QR Code

Effective E-Learning Practices by Machine Learning and Artificial Intelligence

  • Received : 2024.01.05
  • Published : 2024.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

Keywords

References

  1. Raffaele Cioffi 1,Marta Travaglioni 1,Giuseppina Piscitelli 1,Antonella Petrillo 1,* andFabio De Felice. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions, mdpi Sustainability 12(2), 492; https://doi.org/10.3390/su12020492. 2020.
  2. Castro F., Vellido A., Nebot A, Mugica F. Applying Data Mining Techniques to e-Learning Problems. In: Jain L.C., Tedman R.A., Tedman D.K. (eds) Evolution of Teaching and Learning Paradigms in Intelligent Environment. Studies in Computational Intelligence, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71974-8_8. 2007.
  3. Joyce Hwee Ling Koh, Rebecca Yen Pei Kan. Students' use of learning management systems and desired e-learning experiences: are they ready for next generation digital learning environments?. Higher Education Research & Development 0:0, Interactive Learning Environments pages 1-16 Published online: ISSN: 1049-4820 (Print) 1744-5191 (Online) Journal homepage: https://www.tandfonline.com/loi/nile20, https://doi.org/10.1080/10494820.2012.745433. 2012
  4. Panel Joi L.Moorea Camille Dickson-Deaneb Krista Galyenb, e-Learning, online learning, and distance learning environments: Are they the same? The Internet and Higher Education, Volume 14, Issue 2 Pages 129-135, https://doi.org/10.1016/j.iheduc.2010.10.001. 2011
  5. J.W.Gikandi, D.Morrow , N.E.Davis, Online formative assessment in higher education: A review of the literature, Computers & Education, Volume 57, Issue 4, Pages 2333-2351, https://doi.org/10.1016/j.compedu.2011.06.004. 2011.
  6. Cheah, S.-M.; Chan, Y.-J.; Khor, A.C.; Say, E.M.P Artificial Intelligence-Enhanced Decision Support for Informing Global Sustainable Development: A Human-Centric AI-Thinking Approach. Information 39 mdpi publishers. 2020
  7. Eric J. Horvitz, John S. Breese, Max Henrion, Decision theory in expert systems and artificial intelligence, International Journal of Approximate Reasoning, Volume 2, Issue 3, Pages 247-302, https://doi.org/10.1016/0888-613X(88)90120-X. 1968
  8. Jing, Y., Bian, Y., Hu, Z. et al. Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era. AAPS J 20, 58 , Springer https://doi.org/10.1208/s12248-018-0210-0. 2018
  9. Hamed, Mohammed A. & Abu Naser, Samy S. An Intelligent Tutoring System for Teaching the 7 Characteristics for Living Things. International Journal of Advanced Research and Development 2 (1):31-35. Phil Archive copy v2: https://philarchive.org/archive/HAMAIT-7v2 .
  10. Popenici, S.A.D., Kerr, S. Exploring the impact of artificial intelligence on teaching and learning in higher education. RPTEL 12, Springer https://doi.org/10.1186/s41039-017-0062-8.
  11. Moubayed, M. Injadat, A. B. Nassif, H. Lutfiyya and A. Shami,"E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics," in IEEE Access, vol.6,pp. 39117-39138doi: 10.1109/ACCESS.2018.2851790. 2018
  12. R. Russell et al.,"Automated Vulnerability Detection in Source Code Using Deep Representation Learning," 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, 2018, pp. 757-762, doi: 10.1109/ICMLA.2018.00120. 2007. 2018
  13. Zawacki-Richter, O., Marin, V.I., Bond, M. et al. Systematic review of research on artificial intelligence applications in higher education - where are the educators?. Int J Educ Technol High Educ 16, 39 https://doi.org/10.1186/s41239-019-0171-0, Springer. 2019
  14. Prasad1 & Abeer Alsadoon1 & Angelika Maag, A systematic review: machine learning based recommendation systems for elearning Shristi Shakya Khanal1 & P.W.C. Received: 15 April 2019 / Accepted: 12 November 2019 /Published online: 14 December 2019 # Springer Science+ Business Media, LLC, part of Springer Nature 2019.
  15. Q. Cui et al.,"Stochastic Online Learning for Mobile Edge Computing: Learning from Changes," in IEEE Communications Magazine, vol. 57, no. 3, pp. 63-69, March 2019, doi: 10.1109/MCOM.2019.1800644.2019
  16. Alice Y. Kolb, David A. Kolb, Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education Academy of Management Learning & Education Vol. 4, No. 2Articles Published Online:30 Nov 2017 https://doi.org/10.5465/amle.2005.17268566. 2017
  17. Arshi Naim, Fahad Alahmari, Reference model of e-learning and quality to establish interoperability in higher education systems. International Journal of Emerging Technologies in Learning (iJET) Volum15 Issue 02 Page 15-28 available on https://onlinejour.journals.publicknowledgeproject.org/index.ph p/i-jet/article/view/11605. 2020
  18. Arshi Naim, Mohammad Rashid Hussain, Quadri Noorulhasan Naveed, Naim Ahmad, Shamimul Qamar, Nawsher Khan, Toleen Abu Hweij, Ensuring interoperability of e-learning and quality development in education 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) available on https://ieeexplore.ieee.org/abstract/document/8717431. 2019
  19. Arshi Naim. Realization of diverse Electronic tools in learning and teaching for students with diverse skills. Global Journal of Enterprise Information System, 12(1), 72-78. Retrieved from https://gjeis.com/index.php/GJEIS/article/view/451. 2020
  20. Naim, A., Alahmari, F., & Rahim, A. Role of Artificial Intelligence in Market Development and Vehicular Communication. Smart Antennas: Recent Trends in Design and Applications, 2, 28. 2021
  21. Naim, A., Sattar, R. A., AL Ahmary, Nalah., & Razwi, M. T.Implementation of Quality Matters Standards on Blended Courses: A Case Study, FINANCE INDIA Indian Institute of Finance Vol. XXXV No. 3, September 2021 Pages-873-890. 2021
  22. Arshi Naim. Application of Quality Matters in Digital Learning in Higher Education. Texas Journal of Multidisciplinary Studies, 1(1), 3-12. Retrieved from https://zienjournals.com/index.php/tjm/article/view/11. 2021
  23. Naim, A., Khan, M.F., Consumer Behavior for Health Services: A Psychological Approach, SPR. 1(4), 356- 367. 2021 https://doi.org/10.52152/spr/2021.155