Evidence map›Paper›PMID 41555908›Full record

ArticleMedical science educator2025

Development and Validation of a Tool for Evaluating Self-regulated and Self-directed Aptitudes of Learning (SELF-ReDiAL).

Arash Arianpoor, Silas C R Taylor, Cherie Lucas, Craig S Webster, Marcus A Henning, Ernesta Sofija, Matthew J Boyd, Theresa L Charrois, Jamie Kellar, Jason Perepelkin and 6 more

Abstract read
In one paragraph

Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Arash ArianpoorOffice of Medical Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Silas C R TaylorOffice of Medical Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Cherie LucasSchool of Population Health, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Craig S WebsterCentre for Medical and Health Sciences Education, School of Medicine, University of Auckland, Auckland, New Zealand.
Marcus A HenningCentre for Medical and Health Sciences Education, School of Medicine, University of Auckland, Auckland, New Zealand.
Ernesta SofijaSchool of Medicine and Dentistry, Griffith University, Gold Coast, QLD Australia.
Matthew J BoydDivision of Pharmacy Practice and Policy, School of Pharmacy, University of Nottingham, Nottingham, UK.
Theresa L CharroisFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC Canada.
Jamie KellarLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada.
Jason PerepelkinCollege of Pharmacy & Nutrition, University of Saskatchewan, Saskatoon, SK Canada.
Lorraine SmithSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia.
Revathy ManiSchool of Optometry and Vision Science, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Efi MantzouraniSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, Wales UK.
Catherin MarleyFaculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Boaz ShulrufOffice of Medical Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.
Pin-Hsiang HuangOffice of Medical Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW Australia.ORCID 0000-0002-6101-0080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Self-regulated learning (SRL) and self-directed learning (SDL) are widely studied in education, but debates about their relationship have hindered effective measurement in practice. The recently introduced SELF-ReDiAL framework (self-regulated and self-directed aptitudes of learning) addresses this by framing these as adaptable learning aptitudes, integrating SRL features and insights into SDL. Using this framework, we developed and validated a new tool to assess SELF-ReDiAL-particularly valuable for health students and professionals requiring lifelong learning-bridging educational theory and practice. Methods: Guided by the SELF-ReDiAL framework, a 30-item questionnaire was developed and administered to students in health-related disciplines across Australia, New Zealand, the UK, and Canada. Exploratory and confirmatory factor analyses (EFA and CFA) assessed the scale's content and construct validity. Results: Overall, 315 responses were analysed (mean age: 23.20 ± 6.73 years, range: 17-58), including 241 women, 70 men, and 4 individuals using other gender terms. Following EFA, 20 items were retained, yielding a four-factor model: 'Inquisitiveness' (31.17% variance explained), 'Accomplishment' (4.46% variance explained), 'Implementation' (4.11% variance explained), and 'Independence' (2.54% variance explained). CFA confirmed model fit ( Discussion: The SELF-ReDiAL model offers a comprehensive perspective on learners' ability to take ownership of their learning when addressing gaps in professional knowledge. In health education, assessing SELF-ReDiAL helps identify influencing factors and informs strategies to enhance these aptitudes, prompting lifelong learning and ensuring high-quality patient care. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-025-02454-0.

Indexed as

Health professional educationLifelong learningMedical educationScale developmentSelf-directed learningSelf-regulated learning

Identifiers

PMID41555908
PMCPMC12812129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.