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Record W2922139419 · doi:10.1080/10401334.2019.1576526

Your Goals, My Goals, Our Goals: The Complexity of Coconstructing Goals with Learners in Medical Education

2019· article· en· W2922139419 on OpenAlex
Laura Farrell, Gisèle Bourgeois‐Law, Sarah Louise Buydens, Glenn Regehr

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

VenueTeaching and Learning in Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPreceptorThematic analysisPsychologyMedical educationEmpathyGoal orientationGoal settingQualitative researchPedagogyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Phenomenon: Despite a long-standing recognition of the importance of learning goals in feedback, there has been relatively little research on how to address mismatches between learner goals and preceptor goals in medical education. Our study addresses this gap by reporting on challenges and strategies around goal coconstruction as identified by clinical educators who were learning and attempting to implement a goal-oriented feedback approach in their own teaching contexts. Approach: We employed a qualitative, design-based research methodology to study how 5 clinician educators incorporated goal-oriented feedback into their teaching practice. Participants attended workshops on goal-oriented feedback and reflective writing. They then narratively reflected over a 6-month period on their attempts with goal-oriented feedback and shared these reflections in periodic facilitated group discussions. Themes were developed using iterative thematic analysis of group discussions and individual exit interviews. Findings: Participants identified several benefits of goal setting in all environments. They perceived improved rapport with learners and developed empathy for the vastness of learner goals. However, they experienced several struggles especially when learner and preceptor goals did not match. These included (a) how to address learner goals that were not easily amenable to a coconstruction, (b) how to coconstruct goals while actively running a clinical practice, and (c) how to remain learner centered while raising preceptor goals based on perceived gaps. Insights: Mismatches between learner and preceptor goals are inevitable and frequent. Preceptors must find ways to coconstruct goals with learners in various learning environments. That said, in enacting goal-oriented feedback, preceptors are effectively using feedback throughout the teaching and learning interaction to coconstruct the learning environment, resulting in improved rapport with learners and emphasizing why it is important to focus feedback around goals.

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)0.009
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
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 head0.035
GPT teacher head0.368
Teacher spread0.333 · 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