“We had No Choice”: Lecturers’ Experiences with a Top-Down Approach to the Institutional Adoption of Blended Learning

Ramiz Ali & Helen Georgiou

Higher Education Policy2026https://doi.org/10.1057/s41307-026-00443-5article
AJG 2
Weight
0.50

What the paper says

Institutional adoption of blended learning has significantly grown in higher education, yet limited research explores how lecturers experience mandated and top-down implementation, particularly in resource-constrained contexts. This mixed-methods study examines these experiences at a university undergoing rapid, institution-driven adoption of blended learning. Ninety-nine lecturers participated in a survey and interviews, complemented by content analysis of relevant institutional documents. Findings show that although lecturers recognised blended learning’s pedagogical value for enhancing student learning, the fast-track nature of the adoption hindered the university’s ability to effectively plan and execute the implementation. As a result, lecturers encountered multiple barriers, including low self-efficacy, institutional readiness, and increased workload, which collectively increased staff frustration and reduced confidence in the initiative. The study highlights how top-down adoption can unintentionally hinder teaching quality when support structures are underdeveloped, underscoring the need for more responsive planning and capacity building in institutional rollouts of blended learning.

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https://doi.org/https://doi.org/10.1057/s41307-026-00443-5

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@article{ramiz2026,
  title        = {{“We had No Choice”: Lecturers’ Experiences with a Top-Down Approach to the Institutional Adoption of Blended Learning}},
  author       = {Ramiz Ali & Helen Georgiou},
  journal      = {Higher Education Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1057/s41307-026-00443-5},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.