Abstract
This study addresses the growing trend of adaptive learning in higher education, focusing on the under-explored area of faculty perspectives at Vietnam National University, Hanoi (VNU). The research aims to understand how 68 instructors perceive and implement adaptive learning in undergraduate programs. Conducted within the context of VNU, the study employs a mixed-methods approach: quantitative data collected through survey questionnaires and qualitative insights gained from semi-structured interviews. The results reveal diverse attitudes among instructors, highlighting varying levels of comfort and familiarity with adaptive learning strategies. Key findings suggest a need for targeted support and discourse to enhance the implementation of adaptive learning. This study contributes to the ongoing discourse by providing practical recommendations for improving adaptive learning at VNU, ultimately aiming to elevate the educational experience for both students and faculty.
Publisher
Asia Association of Computer Assisted Language Learning
Reference37 articles.
1. Alqahtani, R., Kaliappen, N., & Alqahtani, M. (2021). A review of the quality of adaptive learning tools over non-adaptive learning tools. International Journal for Quality Research, 15(1), 45-72. DOI: 10.24874/IJQR15.01-03.
2. Bonavita, M., & Laloyaux, P. (2020). Machine learning for model error inference and correction. Journal of Advances in Modeling Earth Systems, 12(12), e2020MS002232. https://doi.org/10.1029/2020MS002232.
3. Bray, N. R. (2017). Faculty perceptions of implementing adaptive learning: A case study. Electronic Theses and Dissertations. University of Memphis Digital Commons. https://digitalcommons.memphis.edu/etd/1688
4. Bui, T. D., Dang, T. T. H., Vuong, Q. A., Do, T. H., & Nguyen, T. T. (2022). Nghiên cứu đề xuất mô hình giáo dục thích ứng cho giáo dục phổ thông Việt Nam. Tạp chí Khoa học giáo dục Việt Nam, 18(2), 14-22. https://doi.org/10.15625/2615-8957/12220203
5. Burbules, N. C., Fan, G., & Repp, P. (2020). Five trends of education and technology in a sustainable future. Geography and Sustainability. https://doi.org/10.1016/j.geosus.2020.05.001