Author
P.Vijayakumar
Keywords
E-learning; Artificial Intelligence; Machine Learning.
Abstract
As technology continues to advance, so does our understanding of artificial intelligence (AI). With its ever-increasing applications and potential, it’s no wonder that many individuals are looking to gain knowledge in this field. Enter e-learning in artificial intelligence – an innovative and convenient way to learn about AI at your own pace. In this article, we will delve into the world of e-learning in artificial intelligence, exploring how it has revolutionized the way we acquire knowledge and skills in this exciting domain. From online courses and tutorials to interactive platforms and virtual classrooms, there are now numerous options available for individuals interested in mastering AI. Whether you’re a student looking to explore a career in AI, a professional seeking to upskill, or simply someone curious about this fascinating field, e-learning in artificial intelligence offers a flexible and accessible pathway to gaining expertise. Through the use of carefully curated content, engaging multimedia, and interactive learning experiences, e-learning platforms aim to provide learners with a comprehensive and immersive educational experience. Join us as we explore the world of e-learning in artificial intelligence and discover how it can empower individuals to unlock their full potential in this rapidly evolving field.
References
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[12] M. Irfan, B. Kusumaningrum, Y. Yulia, and S. A. Widodo, ‘‘Challengesduring the pandemic: Use of e-learning in mathematics learning in highereducation,’’ Infinity J., vol. 9, no. 2, pp. 147–158, 2020
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[14] S. Chookaew, P. Panjaburee, D. Wanichsan, and P. Laosinchai, ‘‘A person-alized e-learning environment to promote Student’s conceptual learningon basic computer programming,’’ Proc.-Social Behav. Sci., vol. 116,pp. 815–819, Feb. 2014.
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[1] N. W. Rahayu, R. Ferdiana, and S. S. Kusumawardani, ‘‘A systematicreview of ontology use in e-learning recommender system,’’ Comput.Educ., Artif. Intell., vol. 3, Jan. 2022, Art. no. 100047.
[2] S. Hubalovsky, M. Hubalovska, and M. Musilek, ‘‘Assessment ofthe influence of adaptive e-learning on learning effectiveness of pri-mary school pupils,’’ Comput. Hum. Behav., vol. 92, pp. 691–705,Mar. 2019.
[3] O. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, ‘‘System-atic review of research on artificial intelligence applications in highereducation—Where are the educators?’’ Int. J. Educ. Technol. HigherEduc., vol. 16, no. 1, pp. 1–27, Oct. 2019, doi: 10.1186/s41239-019-0171-0.
[4] N. S. Raj and V. Renumol, ‘‘A systematic literature review on adaptivecontent recommenders in personalized learning environments from 2015to 2020,’’ J. Comput. Educ., vol. 9, pp. 113–148, Aug. 2021.
[5] S. Y. Chen and J.-H. Wang, ‘‘Individual differences and personalized learning: A review and appraisal,’’ Universal Access Inf. Soc., vol. 20,no. 4, pp. 833–849, Nov. 2021.
[6] M. Mazon-Fierro and D. Mauricio, ‘‘Usability of e-learning and usabil-ity of adaptive e-learning: A literature review,’’ Int. J. Hum. FactorsErgonom., vol. 9, no. 1, pp. 1–31, 2022
[7] H. Rodrigues, F. Almeida, V. Figueiredo, and S. L. Lopes, ‘‘Trackinge-learning through published papers: A systematic
[8] review,’’ Comput.Educ., vol. 136, pp. 87–98, Jul. 2019
[9] H. Peng, S. Ma, and J. M. Spector, ‘‘Personalized adaptive learning:An emerging pedagogical approach enabled by a smart learningenvironment,’’ Smart Learn. Environ., vol. 6, no. 1, pp. 1–14,Dec. 2019.
[10] D. L. Taylor, M. Yeung, and A. Z. Bashet, ‘‘Personalized and adaptivelearning,’’ in Innovative Learning Environments in STEM Higher Educa-tion. Cham, Switzerland: Springer, 2021, pp. 17–34.
[11] K. Alhumaid, S. Ali, A. Waheed, E. Zahid, and M. Habes, ‘‘COVID-19&elearning: Perceptions & attitudes of teachers towards e-learningacceptancein the developing countries,’’ Multicultural Educ., vol. 6,pp. 100–115, Oct. 2020.
[12] M. Irfan, B. Kusumaningrum, Y. Yulia, and S. A. Widodo, ‘‘Challengesduring the pandemic: Use of e-learning in mathematics learning in highereducation,’’ Infinity J., vol. 9, no. 2, pp. 147–158, 2020
[13] K. McCutcheon, M. Lohan, M. Traynor, and D. Martin, ‘‘A systematicreview evaluating the impact of online or blended learning vs. Face-to-face learning of clinical skills in undergraduate nurse education,’’ J. Adv.Nursing, vol. 71, no. 2, pp. 255–270, Feb. 2015
[14] S. Chookaew, P. Panjaburee, D. Wanichsan, and P. Laosinchai, ‘‘A person-alized e-learning environment to promote Student’s conceptual learningon basic computer programming,’’ Proc.-Social Behav. Sci., vol. 116,pp. 815–819, Feb. 2014.
[15] P. Panjaburee, N. Komalawardhana, and T. Ingkavara, ‘‘Acceptance ofpersonalized e-learning systems: A case study of concept-effect rela-tionship approach on science, technology, and mathematics courses,’’ J.Comput. Educ., vol. 9, pp. 1–25, Jan. 2022.
[16] B. C. L. Christudas, E. Kirubakaran, and P. R. J. Thangaiah, ‘‘An evo-lutionary approach for personalization of content delivery in e-learning systems based on learner behavior forcing compatibility of learningmaterials,’’ Telematics Informat., vol. 35, no. 3, pp. 520–533, 2018.
[17] S. Alshmrany, ‘‘Adaptive learning style prediction in e-learning environ-ment using levy flight distribution based CNN model,’’ Cluster Comput., vol. 25, no. 1, pp. 523–536, Feb. 2022.
Received : 17 July 2024
Accepted : 26 September 2024
Published : 30 September 2024
DOI: 10.30726/ijlca/v11.i3.2024.113003