Technology-Enabled Institutional Readiness for Agile-Blended Learning: A Framework for Educational Innovation
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Better institutional readiness leads to improved technology implementation, adoption, and return on investment.
“Higher institutional readiness improves technology implementation, adoption, and return on investment (Wong and Li, 2025).”
From AI Adoption in Higher Education: A Comparative Study of Institutional Readiness and Challenges (2025) · cites this paper as Wong and Li, 2025
Cites
Becoming a Self-Regulated Learner: An Overview
Zimmerman, B. J. (2002) · Theory Into Practice · doi:10.1207/s15430421tip4102_2 · Cited by 7,305 · cited 1× · see citing works
“Research on self-directed learning underscores the importance of scaffolding these skills, par - ticularly for students unaccustomed to flexible and collab - orative learning environments [26 ].”
The effectiveness of online and blended learning: A meta-analysis of the empirical literature
Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811311500307 · Cited by 1,638 · see citing works
A systematic review on trends in using Moodle for teaching and learning
Gamage, S. H. P. W., Ayres, J. R., & Behrend, M. B. (2022) · International Journal of STEM Education · doi:10.1186/s40594-021-00323-x · Cited by 360 · see citing works
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AI Adoption in Higher Education: A Comparative Study of Institutional Readiness and Challenges
Huma, T., Ahmed, D. S., Mahmood, W., khan, D. A., & Afridi, D. A. K. (2025) · Social Science Review Archives · doi:10.70670/sra.v3i4.1117 · Cited by 9 · see citing works
- Authors
- Wong, J. M. S., & Li, K. C.
- Affiliations
- Hong Kong Metropolitan University (HK)
- Corresponding author
- Wong, Jessie Ming Sin
- Venue
- SN Computer Science
- Published
- 2025-03-13
- Volume
- 6
- Issue
- 3
- ISSN
- 2661-8907 (ISSN-L)
- OpenAlex
- W4408421495
- Cited by
- 25
- References
- 3
- Citations by year
- 2026: 18 · 2025: 7
- FWCI
- 77.35
- Type
- journal article
- Language
- en
- Update notices
- correction (2025-03-28)
- Open access
- closed
- Licence
- Locations
- SN Computer Science (publishedVersion)
- Topics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Keywords
- institutional readiness, blended learning, educational innovation, readiness assessment framework, organizational change theory, faculty training, technological infrastructure, institutional culture, student readiness, learner autonomy, implementation barriers
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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.
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