Evidence map›Paper›PMID 38074530›Full record

ArticleMedEdPublish (2016)2018

Development and validation of the Griffith University Affective Learning Scale (GUALS): A tool for assessing affective learning in health professional students' reflective journals.

Gary D Rogers, Amary Mey, Pit Cheng Chan, Marise Lombard, Fiona Miller

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Development of affective learning in dietetics graduates: A qualitative longitudinal study.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2022
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gary D RogersSchool of Medicine and Health Institute for the Development of Education and Scholarship (Health IDEAS).
Amary MeySchool of Pharmacy and Pharmacology.
Pit Cheng ChanSchool of Medicine and Health Institute for the Development of Education and Scholarship (Health IDEAS).
Marise LombardSchool of Medicine.
Fiona MillerSchool of Pharmacy and and Pharmacology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was migrated. The article was marked as recommended. Background Assessment of health students' attainment of cognitive and psychomotor learning outcomes is achieved through the application of well-established methods. However, for learning in the affective domain, which, in the health professions, is closely associated with the development of 'professionalism', assessment remains challenging as there is a dearth of validated, reliable and practical tools available. The aim of this study was to develop and test the reliability of an instrument assess for evidence of affective learning in the reflective journals of health professional students who have participated in emotionally-impactive learning experiences. Method Based on the findings of our earlier published work on the assessment of affective learning ( Rogers, Mey & Chan, 2017), we developed a practical tool known as the Griffith University Affective Learning Scale (GUALS). We trained a pool of learning facilitators in the assessment of affective learning and the use of the instrument. Two facilitators, in parallel, independently graded each of the daily journals of 26 medical students undertaking a week-long immersive simulation activity. Assessors were asked to rate the highest level of affective learning evident in each journal. Statistical analysis explored score distribution, means and inter-rater differences. Results One hundred and twenty-five journal entries (five from each of 25 students - one selected student had missing journals and was thus excluded from the analysis) were rated by a total of seven trained facilitators. Scores were normally distributed, with a mean of 4.23 (SD = 1.10) on a seven-point scale. Inter-rater absolute score concordance was seen for 45.6% of the journals, with a mean inter-rater difference of 0.56 points, maximum difference of 2.00 points and intraclass correlation coefficient of 0.86 (95% Cl: 0.80 - 0.90). Conclusions GUALS, when utilised by trained assessors, appears to be a reliable tool to assess for evidence of affective learning in medical students' journals related to emotionally-impactive simulated clinical experiences. Further research should explore its utilisation in relation to other learning experiences such as real clinical setting encounters, as well as with students from other health professions and in other settings where the assessment of affective learning is important.

Indexed as

affective learningassessmentinterpretative phenomenological analysisinterprofessional valuesprofessionalism

Identifiers

PMID38074530
PMCPMC10701821

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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.