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Record W1662218276 · doi:10.1111/medu.12131

Remediation for struggling learners: putting an end to ‘more of the same’

2013· letter· en· W1662218276 on OpenAlexaffabout
Marie‐Claude Audétat, Suzanne Laurin, Valérie Dory

Bibliographic record

VenueMedical Education · 2013
Typeletter
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRemedial educationPsychological interventionExcellenceMedical educationPsychologyProcess (computing)WorkloadMedicinePedagogyMathematics educationComputer sciencePsychiatryPolitical science

Abstract

fetched live from OpenAlex

Two papers in this issue discuss the challenges posed by struggling learners1,2. We would like to highlight a few of the key issues not only for clinical teachers, but also for those who seek to help them through faculty development. Cleland and colleagues provide a useful state-of-the-knowledge on the conceptual and methodological bases of remedial interventions in medical education.1 One of their key findings is that there is a lack of theoretical foundation to many remedial interventions: more often than not, interventions amount to providing ‘more of the same’ to learners in difficulty.1 This resonates well with our experience. In a study of clinical teachers involved in the residency programme in the Department of Family and Emergency Medicine at the University of Montreal, we found that clinical teachers identified residents in difficulty easily enough, but their evaluations were intuitive and global.3 They felt unsure about what to do when residents had clinical reasoning difficulties and, as a result, significant time elapsed before any remedial actions were taken. When they were, interventions generally focused on organisational aspects of residency, such as reducing struggling residents’ clinical workload, rather than on tailoring remediation according to a specific diagnosis of the root cause of the difficulty.3 This pattern is likely to be attributable, at least in part, to supervisors’ difficulties in using a structured process, framed by appropriate theory, to generate a specific educational diagnosis of learners’ difficulties. These findings further illustrate Hesketh et al.’s4 model of excellence in clinical teaching: excellent clinical teachers need an appropriate approach to the tasks they perform. More often than not, interventions amount to providing ‘more of the same’ to learners in difficulty In response to these findings, the Department of Family and Emergency Medicine at the University of Montreal developed a multidimensional strategy to support clinical teachers in remediating residents. This strategy consists of four prongs: implementing institutional procedures with regard to remediation plans and follow-up;5,6 introducing clinical teachers to conceptual frameworks and empirical findings from the literature through accessible and targeted papers; developing a guide to the diagnosis and remediation of different types of clinical reasoning difficulty,7 and providing teacher-centred faculty development. Altogether these strands amount to no less than a cultural8 and organisational change,9 which should help clinical teachers to act effectively, based on well-grounded educational scripts,10 with a strong sense of ‘being clinical educators’,11 which ultimately should improve outcomes for learners. Excellent clinical teachers need an appropriate approach to the tasks they perform We have found our strategy to be successful. In many cases, residents do improve significantly once a structured remediation plan has been put in place. These experiences have led us to concur with Cleland et al.’s assertion,1 based on control value theory,12 that early identification and remediation is key to avoid underperforming undergraduates becoming becoming underperforming doctors by ending the repeated cycle of poor performance, negative feedback, low self-efficacy beliefs and reduced motivation. Although external feedback may be particularly important, from a self-regulated learning perspective, for underperforming learners who tend to also be poor self-assessors,13 consistently negative feedback may be counterproductive. Indeed, from a control value perspective, such feedback can induce negative emotions, which, in turn, can trigger maladaptive learning strategies such as the avoidance of challenging situations. This is evidenced in the paper by Mitchell and colleagues, which reports that junior doctors in difficulty, who have had some autonomy in selecting which workplace-based assessments to submit for review within their portfolio, tended to choose assessors (and cases) that could be viewed as less challenging.2 Early identification and remediation are key to helping underperforming undergraduates to avoid becoming underperforming doctors That said, as much as educators generally desire to help their trainees succeed, in cases where residents do not improve after remediation, the intervention may still be considered successful if it helps expedite the process of excluding them from the programme. Allowing underperforming learners to remain in the curriculum for prolonged periods risks wearing down their clinical teachers. Struggling learners can lead similarly struggling teachers, who may themselves end up feeling helpless as a result of the repeated failures of their interventions. In fact, control value theory would suggest that such negative and deactivating emotions might result in poor practice. This leads us to propose an alternative or supplementary hypothesis as to why the junior doctors in Mitchell et al.’s study2 turned to nurses or other junior doctors for assessment: perhaps more senior doctor teachers were less available because they avoided having to deal with struggling doctors (even non-deliberately) and focused on well performing students or on the execution of more satisfying responsibilities, such as the delivery of patient care. By empowering clinical teachers to attempt well-designed remediation and to document their interventions and their results, the culture change for which we advocate can lead to feelings of control and satisfaction in clinical teacher. Even when this role leads to learner dismissal, clinical teachers can find solace in the knowledge that they did everything in their power to help the learner. Allowing underperforming learners to remain in the curriculum for prolonged periods risks wearing down their clinical teachers Dealing with learners in difficulty is challenging. However, we believe that faculty development centred on the needs of clinical teachers is necessary as it has the potential to lead to both better learner-centred remediation and the empowerment of learners, as well as clinical teachers.

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)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.358
Teacher spread0.338 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations26
Published2013
Admission routes2
Has abstractyes

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