Ikuo Shimizu - PhD Project data for study 3

DOI

Title Modeling the effect of social interdependence in interprofessional collaborative learning

BackgroundInterprofessional education (IPE) often uses collaborative learning for better teamwork among multiple professions. Its theoretical background is social interdependence theory (SIT), and positive interdependence is key for successful collaborative learning. As there is little theoretical knowledge on how to optimize the social interdependence in IPE, educators often struggle to develop an effective program. Therefore, a more specific explanation of the relationship between social interdependence and interprofessional readiness might make IPE more effective. We aimed to elucidate how students’ social interdependence in collaborative learning relates to interprofessional readiness. MethodsHealth profession students (n = 259) undertaking a collaborative IPE program were asked to complete two validated questionnaires: Readiness for Interprofessional Learning Scale and Social Interdependence Scale in Collaborative Learning.ResultsA structural equation analysis provided a good fit for the data. Awareness of objectives positively predicted interprofessional collaboration and identity, whereas specific roles as health professionals negatively predicted interprofessional roles and identity. ConclusionsAs the current healthcare system is highly specialized, there is a dilemma that the more specific a problem is, the clearer it is which profession is responsible for solving it. Hence, strengthening awareness collaboratively may overcome the dilemma. Also, it is necessary to reconstruct a curriculum based on the premise of interprofessional activities. Data The files include data and analysis of the two instruments.

Identifier
DOI https://doi.org/10.34894/ZYGM3Y
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/ZYGM3Y
Provenance
Creator Ikuo Shimizu
Publisher DataverseNL
Contributor shedata
Publication Year 2024
Rights CC0-1.0; info:eu-repo/semantics/restrictedAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess false
Contact shedata (maastrichtuniversity.nl)
Representation
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 358685; 369505
Version 4.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences