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Record W3163774821 · doi:10.1007/s00431-021-04118-8

Feedback and coaching

2021· review· en· W3163774821 on OpenAlexaff
Adelle Atkinson, Christopher Watling, Paul L.P. Brand

Bibliographic record

VenueEuropean Journal of Pediatrics · 2021
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsWestern UniversitySickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCoachingSupervisorMindsetPersonal developmentPsychologyContext (archaeology)Summative assessmentProfessional developmentPedagogyMedical educationMedicineFormative assessmentComputer scienceManagement

Abstract

fetched live from OpenAlex

If used thoughtfully and with intent, feedback and coaching will promote learning and growth as well as personal and professional development in our learners. Feedback is an educational tool as well as a social interaction between learner and supervisor, in the context of a respectful and trusting relationship. It challenges the learner's thinking and supports the learner's growth. Coaching is an educational philosophy dedicated to supporting learners' personal and professional development and growth and supporting them to reach their potential. In clinical education, feedback is most effective when it is explicitly distinguished from summative assessment. Importantly, feedback should be about firsthand observed behaviors (which can be direct or indirect) and not about information which comes from a third party. Learners are more receptive to feedback if it comes from a source that they perceive as credible, and with whom they have developed rapport. The coaching relationship between learner and supervisor should also be built on mutual trust and respect. Coaching can be provided in the moment (feedback on everyday clinical activities that leads to performance improvement, even with short interaction with a supervisor) and over time (a longer term relationship with a supervisor in which there is reflection on the learner's development and co-creation of new learning goals). Feedback and coaching are most valuable when the learner and teacher exhibit a growth mindset. At the organizational level, it is important that both the structures and training are in place to ensure a culture of effective feedback and coaching in the clinical workplace.Conclusions: Having a thoughtful and intentional approach to feedback and coaching with learners, as well as applying evidence-based principles, will not only contribute in a significant way to their developmental progression, but will also provide them with the tools they need to have the best chance of achieving competence throughout their training. What is Known: • Feedback and coaching are key to advancing the developmental progression of trainees as they work towards achieving competence. • Feedback is not a one-way delivery of specific information from supervisor to trainee, but rather a social interaction between two individuals in which trust and respect play a key role. • Provision of effective feedback may be hampered by confusing formative (supporting trainee learning and development) and summative (the judgment that is made about a trainee's level of competence) purposes. What is New: • Approaches to both the provision of feedback/coaching and the assessment of competence must be developed in parallel to ensure success in clinical training programs. • Faculty development is essential to provide clinical teachers with the skills to provide effective feedback and coaching. • Coaching's effectiveness relies on nurturing strong trainee-supervisor relationships, ensuring high-quality feedback, nourishing a growth mindset, and encouraging an institutional culture that embraces feedback and coaching.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.055
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0290.008

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 head0.050
GPT teacher head0.362
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations111
Published2021
Admission routes1
Has abstractyes

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