Determinant factors of distance self-learning performance on computer programming language education - a concept map approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-12142-4.pdf
Reference73 articles.
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2. Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25(6), 5261–5280. https://doi.org/10.1007/s10639-020-10219-y.
3. Alqahtani, A. Y., & Rajkhan, A. A. (2020). E-learning critical success factors during the COVID-19 pandemic: A comprehensive analysis of e-learning managerial perspectives. In Education Sciences (Vol. 10, Issue 9). https://doi.org/10.3390/educsci10090216.
4. Alwabel, A. S. A., & Zeng, X. J. (2021). Data-driven modeling of technology acceptance: A machine learning perspective. Expert Systems with Applications, 185, 115584. https://doi.org/10.1016/j.eswa.2021.115584.
5. Baliga, S. S., Walvekar, P. R., & Mahantshetti, G. J. (2021). Concept map as a teaching and learning tool for medical students. Journal of Education and Health Promotion, 10(35), 1–6. https://doi.org/10.4103/jehp.jehp_146_20.
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