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Record W4290805669 · doi:10.1097/acm.0000000000004916

Examining the Impact of Dialogic Learning on Critically Reflective Practice

2022· article· en· W4290805669 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.

Bibliographic record

VenueAcademic Medicine · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalWomen's College HospitalThe Wilson Centre
Fundersnot available
KeywordsDialogicReflective practiceCritically illReflection (computer programming)Critical reflectionPsychologyReflective writingCritical thinkingLogistic regressionIntervention (counseling)MedicineNursingPedagogyIntensive care medicineComputer science

Abstract

fetched live from OpenAlex

PURPOSE: While research is beginning to reveal the potential of dialogue in sparking critical reflection (critically reflective ways of seeing), additional research is needed to guide the teaching of critical reflection toward enabling critically reflective practice (critically reflective ways of seeing and doing). An experimental study was conducted to investigate the impact of dialogic learning on critically reflective practice, compared to discussion-based learning. The dialogic intervention integrated the theory of Mikhail Bakhtin with the theory of critical reflection and critical disability studies. METHOD: In interprofessional groups of 4, medical, occupational therapy, and speech-language pathology students were randomly assigned to a learning condition that used a reflective discussion or critically reflective dialogue about a pediatric patient case. All participants were then randomly assigned a clinical report for a novel pediatric patient and asked to write a hypothetical clinical letter to the child's school. Hierarchical logistic regression models were constructed to estimate the probabilities of sentences and letters being critically reflective. RESULTS: The probability of sentences being critically reflective was significantly higher for the dialogue condition (0.26, 95% CI [0.2, 0.33]), compared to the discussion condition (0.11, 95% CI [0.07, 0.15]). Likewise, the probability of letters being critically reflective was significantly higher for the dialogue condition (0.26, 95% CI [0.15, 0.4]), compared to the discussion condition (0.04, 95% CI [0.01, 0.16]). In both conditions, the probability of a letter being critically reflective was positively associated with the proportion of critically reflective sentences. CONCLUSIONS: The results demonstrate dialogic learning prepared students to enact critically reflective practice when writing mock clinical letters. Students who participated in a dialogue engaged in a collaborative process of critical reflection and subsequently applied that way of seeing in the individual act of writing a letter. This study highlights how Bakhtin's theory of dialogue can advance critical pedagogy.

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)0.004
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.444
Teacher spread0.362 · 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