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).
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FSMARJP ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/smarjp ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FSMAR… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Social Sciences
- From keywords
- Medicine & Health · Social Science
- Inferred from text
- Specialist studies in education 70%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/SMARJP | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3904 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |