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Evaluation of remote learning in knowledge translation through massive open online courses in the DRC

Domain:

educationhealthcare

Record type:

paperproject
Creator:
HotDagKieVil
Editor:
UniCenIns
Publisher:
CCSD
Host:avatar
International audience Background: Building capacity in knowledge translation is necessary to bridge the gap between research and practice, but evaluation of knowledge translation training initiatives is limited. In the Democratic Republic of Congo (DRC), stakeholders of a public health project participated in such training that involved completing two massive open online courses (MOOCs) autonomously, with biweekly coaching by a trainer and feedback through email. Objectives: This qualitative study aims to report on their experience with distance training, including implementation barriers and facilitators and the effect on their practice. Method: Twelve semi-structured interviews were conducted with trainees 8 months post-training. The evaluation used three levels of Kirkpatrick’s model – reactions, learning, behaviour change – and the TIPEC framework to identify barriers to implementation. Results: Participants faced significant technological obstacles. Nevertheless, they described a satisfying and collaborative learning experience. The training topic was deemed relevant. The biweekly coaching they received was appreciated, though most did not consider it essential. Most trainees had put their learning into practice by the time of the evaluation. Conclusion: In a context of limited resources, MOOC-based knowledge translation training met the needs of these professionals spread out across a vast territory and was deemed effective from an individual standpoint. This study confirms the importance of tailoring the training to learners’ professional contexts in the DRC. Contribution: This study assessed the effectiveness of MOOC-based learning in a little-described context of a French-speaking low- and middle-income country. It contributes to identifying the added value of this training method.

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hal.science

Tags

[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie

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