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Record W4415077458 · doi:10.15277/bjd.2025.490

Transitioning the Knuston Diabetes Counselling and Empowerment Skills Course to an online format: an exploration of the experiences of educators

2025· article· en· W4415077458 on OpenAlexfundno aff
R. Nicholas Tobin, Mark Davies, Cathy E. Lloyd

Bibliographic record

VenueBritish Journal of Diabetes · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsThematic analysisEmpowermentFeelingFocus groupReflexivityHealth careOnline courseQualitative researchOnline discussion

Abstract

fetched live from OpenAlex

Introduction: Since the coronavirus pandemic, the amount of healthcare education provided online has increased enormously. Research has generally focused on the effectiveness of online courses. Little attention has been given to the lived experiences of educators transitioning their courses to an online format. This paper explores the thoughts and feelings of a team of educators who recently experienced such a transition. Methods: In this qualitative study, a team of healthcare educators participated in a focus group or individual interview to explore what they learned from transitioning a four-day residential course teaching counselling skills and empowerment philosophy to healthcare professionals to an online format. A reflexive thematic analysis was employed to identify the themes that emerged from the data. Results: Six key themes emerged: 1) impact of COVID-19; 2) initial perspectives; 3) support; 4) disintegration to reintegration; 5) understanding the relationship between the old and the new; and 6) future planning. Conclusions: Transitioning an educational course from an in-person to an online format can initially be difficult but, with appropriate support, it is achievable and worthwhile. The process of transitioning a much-cherished course online was both an intellectual and an emotional process. Practice implications: It is hoped that this paper will help to guide those transitioning a course traditionally taught in-person to an online format.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.287
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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