A quasi-experimental study of a blended course integrated with refined web-mediated pedagogy of collaborative learning and self-regulated learning
Abstract
Innovative teaching methods integrated with web technologies have been increasingly used in higher education. However, there are few studies discussing effective web-mediated teaching methods for both students and teachers. To help students learn and develop their academic involvement in a blended course, and improve their thoughts regarding this course, the author in this study re-designed and re-developed a combined teaching method for the course. The author conducted a quasi-experimental study to explore the effects of different combinations of web-mediated CL with/without initiation and SRL with/without feedback on involving students and enhancing their thoughts regarding this blended course. This research involved 227 second-year university students from four class sections, including three experimental groups (CISF, CIS, and CI groups), and a control group (C group), who received different combined interventions. In this research, students in CISF group (web-mediated instruction that integrated CL with initiation and SRL with feedback) significantly improved their involvement by the end of the course. In addition, students in CISF group had positive thoughts regarding web-mediated CL with initiation and SRL with feedback. The implications and discussion for teachers who plan to design teaching methods for online courses are also provided in this paper.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many students in Taiwan are not willing to learn on their own and are not academically responsible, as they are used to didactic education.
“Second, many students in Taiwan are not willing to learn on their own and are not academically responsible, as they are used to didactic education (Tsai, 2014; Cheng et al., 2022).”
From The effects of online peer-facilitated learning and distributed pair programming on students’ learning (2023) · cites this paper as Tsai, 2014
Cites
Papastergiou, M. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.06.004 · Cited by 1,689 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Tsai, C.-W., Lin, M. Y.-C., Cheng, Y.-P., Lee, L.-Y., Chyr, W.-L., Lin, C.-H., Lin, J.-W., & Tsai, M.-C. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104849 · Cited by 25 · see citing works
“Second, many students in Taiwan are not willing to learn on their own and are not academically responsible, as they are used to didactic education (Tsai, 2014; Cheng et al., 2022).”
Self-citation
- Authors
- Tsai, C.-W.
- Affiliations
- Ming Chuan University (TW)
- Corresponding author
- Tsai, Chia-Wen
- ORCID
- Tsai, Chia-Wen
- Venue
- Interactive Learning Environments
- Publisher
- Informa UK Limited
- Published
- 2012-12-05
- Volume
- 22
- Issue
- 6
- Pages
- 737-751
- ISSN
- 1049-4820 (ISSN-L)
- 1744-5191
- OpenAlex
- W2012359234
- Cited by
- 24
- References
- 1
- Citations by year
- 2023: 4 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 3
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interactive Learning Environments (publishedVersion)
- Funders
- National Science Council
- Topics
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Keywords
- blended learning, cooperative learning, student self-regulation, student engagement, course feedback, online course design, student perceptions, higher education teaching methods
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review