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Data · dataset · 2026

Study 2: Unveiling Dental Students’ Baseline Self-Regulated Learning Skills During an Authentic Diagnostic Reasoning Task

Listed in IISH Dataverse

Description

Summary

This mixed-methods study examined dental students’ baseline self-regulated learning (SRL) processes and diagnostic reasoning performance during an authentic clinical task, while cross-culturally adapting and gathering validity evidence for the Self-Regulated Learning Microanalytic Assessment (SRL-MA) and Assessment of Reasoning Tool–Reconstructed (ART-R). Forty-two fourth-year dental students and eight clinical supervisors participated, generating 63 observed clinical case presentations.

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Instrument adaptation included a two-round Delphi process with 17 experts in Round 1 and 15 in Round 2. Quantitative data were complemented by thematic analysis of students’ open-ended SRL-MA responses. Datafiles The dataset accompanying this descriptor contains three files. • Study2_Quantitative_Data_EN_Deidentified.xlsx: De-identified quantitative data containing 63 SRL-MA observations and 126 ART-R ratings.

Exact dates and original student, observation, and rater codes were removed or replaced with repository-specific identifiers; no re-identification key is included. • Study2_Delphi_Panel_Data_EN_Deidentified.xlsx: De-identified data from the two-round Delphi process used for cross-cultural adaptation and content validity of the SRL-MA and ART-R. It includes expert ratings, item summaries, and English translations of the original Spanish comments.

Expert identifiers were replaced with repository-specific codes. • Study2_SRLMA_OpenEnded_Responses_Combined.docx: English-language compilation of open-ended SRL-MA responses from the strategic planning, self-monitoring, and self-evaluation phases, organised by observation and phase.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
Inferred from text
Dentistry 73%
Provenance · 1 source records, 11 field assertions
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IISH Dataversedoi:10.34894/XXFT0X11 d agoJSON v1
FieldAssertionExtractorEvidence
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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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