The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Development of an instructional design model for flipped learning in higher education
Open accessAbstract
In response to pedagogical challenges in higher education, blended learning has become a prevalent practice in colleges and universities. Flipped learning (FL) represents a newly emerging form of blended learning, where students individually watch online lectures prior to class and then engage in classroom learning activities interacting with peers and instructors. Although the conceptual framework of FL may be intuitively appealing, its design and implementation involve considerable intricacy. The purpose of this study was to develop a FL design model for higher education that could systematically guide instructors or designers in creating an appropriate blend of individualized online lectures and collaborative face-to-face learning activities. Using an established method for model development research, a theoretically constructed initial model was iteratively improved and underwent internal and external validation through model usability tests, expert review, and field evaluation. The implementation of an algebra class in a Korean university designed by the final model resulted in significant increases in the maturity of mathematical views, quality of reflections, and satisfactions of students. Features of the model are discussed, along with theoretical and practical implications and suggestions for further research.
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Cited by
Al-Kumaim, N. H., Alhazmi, A. K., Mohammed, F., Gazem, N. A., Shabbir, M. S., & Fazea, Y. (2021) · Sustainability · doi:10.3390/su13052546 · Cited by 268
Lee, J., & Choi, H. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.06.015 · Cited by 160
Self-citationGuoyan, S., Khaskheli, A., Raza, S. A., Khan, K. A., & Hakim, F. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2021.1978503 · Cited by 69
Long, T., Cummins, J., & Waugh, M. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12703 · Cited by 53
VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos
Choi, S., Lee, H., Lee, Y., & Kim, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642867 · Cited by 17
Metadata
- Authors
- Lee, J., Lim, C., & Kim, H.
- Venue
- Educational Technology Research and Development
- Published
- 2016-12-30
- Volume
- 65
- Issue
- 2
- Pages
- 427-453
- ISSN
- 1042-1629 (ISSN-L)
- 1556-6501
- OpenAlex
- W2562105963
- Cited by
- 286
- References
- 73
- FWCI
- 69.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.