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A Study on Learning Strategies and Styles Segmentation of Learner Groups in Online Education Platforms

   | 05 sie 2024

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Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education: A literature review. Journal of Educational Technology Systems, 46(1), 4-29. Search in Google Scholar

Bettinger, E., & Loeb, S. (2017). Promises and pitfalls of online education. Evidence Speaks Reports, 2(15), 1-4. Search in Google Scholar

Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., & Sindhi, S. (2018). Online education: Worldwide status, challenges, trends, and implications. Journal of Global Information Technology Management, 21(4), 233-241. Search in Google Scholar

Chakraborty, P., Mittal, P., Gupta, M. S., Yadav, S., & Arora, A. (2021). Opinion of students on online education during the COVID‐19 pandemic. Human Behavior and Emerging Technologies, 3(3), 357-365. Search in Google Scholar

Paudel, P. (2021). Online education: Benefits, challenges and strategies during and after COVID-19 in higher education. International Journal on Studies in Education (IJonSE), 3(2). Search in Google Scholar

O’Doherty, D., Dromey, M., Lougheed, J., Hannigan, A., Last, J., & McGrath, D. (2018). Barriers and solutions to online learning in medical education–an integrative review. BMC medical education, 18, 1-11. Search in Google Scholar

Chen, T., Peng, L., Yin, X., Rong, J., Yang, J., & Cong, G. (2020, July). Analysis of user satisfaction with online education platforms in China during the COVID-19 pandemic. In Healthcare (Vol. 8, No. 3, p. 200). MDPI. Search in Google Scholar

Chen, L., Huang, W., Sui, A., Chen, D., & Sun, C. (2017, May). The online education platform using Proxmox and noVNC technology based on Laravel framework. In 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) (pp. 487-491). IEEE. Search in Google Scholar

Kolluru, S., & Varughese, J. T. (2017). Structured academic discussions through an online education-specific platform to improve Pharm. D. students learning outcomes. Currents in Pharmacy Teaching and Learning, 9(2), 230-236. Search in Google Scholar

Chen, J. M., & Song, R. Y. (2021). Influencing Factors of Users’ Willingness to Use Online Education Platform. Journal of Management and Humanity Research, 5(2021), 1-14. Search in Google Scholar

Liu, H. B., Liu, Y., Xu, L., & Abdullah, S. (2021). Multi-attribute group decision-making for online education live platform selection based on linguistic intuitionistic cubic fuzzy aggregation operators. Computational and Applied Mathematics, 40, 1-34. Search in Google Scholar

Mohammed, Q. A., Naidu, V. R., Al Harthi, M. S. A., Babiker, S., Al Balushi, Q., Al Rawahi, M. Y., & Al Riyami, N. H. S. (2020). Role of online collaborative platform in higher education context. IJAEDU-International E-Journal of Advances in Education, 6(17), 220-227. Search in Google Scholar

Hoi, S. C., Sahoo, D., Lu, J., & Zhao, P. (2021). Online learning: A comprehensive survey. Neurocomputing, 459, 249-289. Search in Google Scholar

Gillett-Swan, J. (2017). The challenges of online learning: Supporting and engaging the isolated learner. Journal of Learning Design, 10(1), 20-30. Search in Google Scholar

Cheng, Y., Cai, Y., Chen, H., Cai, Z., Wu, G., & Huang, J. (2021). A cognitive level evaluation method based on a deep neural network for online learning: from a bloom’s taxonomy of cognition objectives perspective. Frontiers in psychology, 12, 661235. Search in Google Scholar

Abdelaziz, S. (2022). The Online Education in the Higher Education, a Complete System Rather Than Just a Platform. Business and Management Studies, 8(1), 1-9. Search in Google Scholar

Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome—A review of literature. International Journal of Information Management, 43, 1-14. Search in Google Scholar

Ferri, F., Grifoni, P., & Guzzo, T. (2020). Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, 10(4), 86. Search in Google Scholar

Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human–Computer Interaction, 35(4-5), 356-373. Search in Google Scholar

Youssouf El Allioui.(2019).Advanced prediction of learner’s profile based on Felder-Silverman learning styles using web usage mining approach and fuzzy c-means algorithm.Int. J. of Computer Aided Engineering and Technology(4/5),495-512. Search in Google Scholar

Jilei Shi,Shuhai Zhu,Yingying Zhou & Rihua Li.(2017).Bayes-Extension Discriminant Method of Two Populations Based on Multivariate Kernel Density Estimation.Procedia Computer Science780-787. Search in Google Scholar

Yibing Li,Jie Liu,Lei Wang,Jinfu Liu,Hongtao Tang,Jun Guo & Wenxiang Xu.(2024).A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem.Applied Soft Computing111746-. Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics