ArticleBMC medical education2023
Interprofessional collaboration (or lack thereof) between faculty and learning technologists in the creation of digital learning.
Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The relationship between school-age students' literacy skills and digital well-being: a systematic review.BMC psychology · 2025Pooled it
- Nurses' Experiences of Interprofessional Collaboration in Digitally Supported Hospital Discharge Planning: Qualitative Study.JMIR nursing · 2026Article
- Empowering Health Professions Educators: Developing Educational Tools with AI-Assisted Vibe Coding.Medical science educator · 2026Article
- Optimizing systematic reviews in health sciences education: a mentefact-based algorithmic framework.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs digital learning becomes more prevalent and important in health professions education, learning technologists play increasingly central roles in designing and delivering learning materials. However, little is understood about the process by which learning technologists have integrated into the existing teaching and learning ecosystem, and it seems that they remain marginal and undervalued. Our aim in this paper was therefore to examine the process of interprofessional co-development of course materials as experienced by educators and learning technologists.
methodsOur approach was qualitative, using individual semi-structured interviews (conducted between July 2021 to May 2022) to explore the working relationship between faculty and learning technologists. Transcripts were analysed abductively.
resultsWe found that the attitudes of both faculty and learning technologists towards collaborating to drive digital adoption in health professions education fell into two main themes: "embrace" and "replace" - and "conflict", which we present as a third theme. Our results revealed that faculty did not take an active and agentic role in developing their digital practices in respect of education delivery. Learning technologists positioned themselves as a resource to support faculty's knowledge and skill gap in digital competence. There was an obvious power differential between the two groups: learning technologists lacked agency and seemed in the position of servants to faculty masters. This created barriers to effective collaboration.
conclusionsBy examining the process of co-development of course materials by faculty and learning technologists, we open up a space to examine the social, relational and organisational complexities associated with interprofessional collaboration in digital health professions education. Our study also has important implications for guiding educational policy to better position learning technologists to effectively collaborate with faculty and realise the potential of digital health professions education.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.