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Record W2018424492 · doi:10.1002/chp.117

The role of reflection in implementing learning from continuing education into practice

2007· article· en· W2018424492 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Continuing Education in the Health Professions · 2007
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersUniversity of TorontoToronto Rehabilitation Institute
KeywordsContinuing educationReflection (computer programming)Reflective practiceMedical educationAdult LearningPedagogyPsychologyMedicinePolitical scienceSociologyAdult educationComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: Although the use of reflection to facilitate learning and its application in practice has been widely advocated, there is little empirical research to establish whether or not health professionals use reflection to integrate learning into clinical practice. Particularly troublesome is the lack of empirically based theory underlying strategies to promote reflection and understand factors that influence its use in translating learning into practice. Occupational therapists participated in this case study, in which reflection and implementation of learning from a short course into practice were examined using a multimethod approach. METHODS: In phase one (n = 41), quantitative data were collected from a practice survey, the Self-Reflection and Insight Scale (SRIS) and Commitment to Change (CTC) statements. In phase two (n = 33), follow-up CTC data were collected to quantify the extent of achievement of CTCs. Data from phases one and two were analyzed descriptively to inform the selection of interview participants (n = 10) in phase three of data collection. RESULTS: Two models were generated. One model describes when reflection was used, and the second model explains factors influencing its use. Participants used reflection before, during, and after the course, and reflection was influenced by a range of factors associated with the course, practice context, and the individual. DISCUSSION: The theory and models depicting the use of reflection may guide educators' use of reflective learning before, during, and after short courses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.554
Teacher spread0.494 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it