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Data · dataset · 2026

Study 1: In experts’ words: Translating theory to practice for teaching self-regulated learning

Listed in IISH Dataverse

Description

Summary

This exploratory qualitative study examined how self-regulated learning (SRL) theories can be translated into teaching practices for complex skills in health professions education. Semi-structured interviews were conducted with 15 acknowledged SRL researchers and/or experienced practitioners from six countries and diverse disciplinary contexts. The interviews explored theoretical perspectives, observed self-regulatory behaviours, strategies for supporting SRL, contextual barriers and facilitators, assessment and feedback, and implications for lifelong learning.

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Data were analysed using an iterative thematic approach guided by a six-step framework. The dataset accompanying this descriptor contains two files. Datafiles • Study1_Dataverse_Deidentified.docx: De-identified qualitative data derived from the final thematic analysis.

The file contains the final coding structure and coded interview quotations grouped by code/theme. It does not contain full interview transcripts. Original participant labels, source filenames, ATLAS.ti references, and potentially identifying contextual details were removed or generalised; quotation identifiers are repository-specific and are not linked to the original participant numbers. • Study 1_Interview guide.doc: Semi-structured interview guide used for data collection.

It includes the study introduction, working definitions of SRL and complex skills, the interview questions, and the closing script. The guide was adapted from Savin-Baden and Howell Major (2013).

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
Inferred from text
Specialist studies in education 70%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/SMARJP10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3904enrichment · datasets iisg amsterdamtaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:social-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
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