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Record W282835592

Self-regulated learning in a field-based setting: Metacognitive and motivational strategies used by occupational therapy fieldwork students to develop clinical competence (Doctoral Dissertation, University of Connecticut, 2005)

2005· article· en· W282835592 on OpenAlexvenueno aff
Anne Birge James

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)MetacognitionPsychologyOccupational therapyMedical educationSelf-efficacyPedagogyApplied psychologyPsychotherapistSocial psychologyMedicineCognition
DOInot available

Abstract

fetched live from OpenAlex

Occupational therapy students often complete their fieldwork education lacking competencies needed for practice. The length of fieldwork has remained constant over the years, while the nature of practice is more complex. This study identified self-regulated learning strategies that help occupational therapy fieldwork students develop clinical competence within the current fieldwork requirement. ^ Self-regulated learning has a positive impact on academic performance. A model of self-regulated fieldwork learning, based on research in academic settings, including contextually relevant metacognitive and motivational variables, provided the theoretical rationale for this study. Qualitative research methods were selected, since the nature of self-regulated learning in field-based settings had not been described in the literature. ^ Data were collected from 12 occupational therapy students engaged in fulltime fieldwork. Nine participants were identified as high performing students (above average or outstanding) and their data were used to describe effective self-regulated fieldwork learning. Two participants were identified as below average students and their data served as a cross comparison to better understand how themes describing self-regulated learning strategies of effective learners were qualified by varied conditions. ^ Four primary themes emerged from the data that described self-regulated fieldwork learning used to develop clinical competence. Effective occupational therapy fieldwork students. (1) used metacognitive control to create and expand their own mental models for clinical competence, (2) demonstrated self-determined motivation that supported the use of metacognitive strategies, (3) took active steps to develop and maintain a productive learning alliance with their supervisors, (4) examined the person-environment interface and were strategic in selecting self-regulated learning strategies. ^ Results of the study were consistent with theories of self-regulated learning based on research in academic settings, but the data suggested that fieldwork learners used additional strategies specific to the fieldwork setting. Effective fieldwork students used self-regulatory learning strategies designed to simultaneously promote learning while ensuring effective patient care. Elaborating on self-regulated learning strategies used in academic settings to better meet the demands of the clinical sites may facilitate students' transition from fieldwork learning to lifelong learning in the workplace. ^

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.397
Teacher spread0.354 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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