MétaCan
Menu
Back to cohort
Record W4398146711 · doi:10.1016/j.ajpe.2024.100719

A Common Language For Competency-Based Education

2024· article· en· W4398146711 on OpenAlexaff
Pierre Moreau, Andries S. Koster, Françoise Crevier

Bibliographic record

VenueAmerican Journal of Pharmaceutical Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCompetence (human resources)TerminologyVocabularyPsychologyPedagogyComputer scienceMedical educationLinguisticsMedicineSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

We read with great interest the recent commentary by Rodney and Meyer entitled: “Competency-based education: The need to debunk misconceptions and develop a common language”. 1 Rhoney D.H. Meyer S.M. Competency-Based Education: The Need to Debunk Misconceptions and Develop a Common Language. Am J Pharm Educ. 2024; 88100637https://doi.org/10.1016/j.ajpe.2023.100637 Abstract Full Text Full Text PDF Scopus (0) Google Scholar We believe that their commentary is timely, and we agree with most points made by the authors on debunking misconceptions. However, we do not share the view that there is a lack of a common definition of competency and competency-based education itself. We also agree that this field can be confusing, and that the terminology needs to be discussed, shared, and ideally unified to prevent misconceptions or inappropriate usage of vocabulary related to competency-based education (CBE). To that end, several educators have tried to offer their perspective on the issue. Already in 1997, in his book (in French), Guy Le Boterf reflected on the definition of competence and competencies. 2 Le Boterf G. De La Compétence à La Navigation Professionnelle. Les Éditions d’Organisation; Paris, 1997 . Google Scholar Loosely translated, his definition for competence (être compétent) is being able to act in a situation to attain expected outcomes. For competency (avoir des compétences), his definition is: selecting and combining internal (knowledge, skills, attitudes) and external (network, references, databases) resources to act in a professional situation. A concept map of competency was proposed by one of us in 2011 to provide a foundation towards a shared understanding. 3 Crevier F. Binette M.C. Girardot D. Laurier C. Vinet J. Mailhot C. Pharand C. Case Study of Generic Competencies Assessment. Pharm Educ. 2011; 11: 111-115 Google Scholar The map includes internal and external resources as proposed by LeBoterf. The recent definition of competency by the World Health Organization is very close in terms of meaning, but omits external resources: “The abilities of a person to integrate knowledge, skills and attitudes in their performance of tasks in a given context. 4 World Health Organization . Global Competency and Outcomes Framework for Universal Health Coverage.; Published April 2022. 〈https://www.who.int/publications/i/item/9789240034662〉. Accessed May 1, 2024 . Google Scholar Competencies are durable, trainable and, through the expression of behaviors, measurable.” This definition was acknowledged in a recent report of the FIP on the implementation of CBE, in which the definition proposed has a similar meaning. 5 International Pharmaceutical federation (FIP) . Competency-Based Education in Pharmacy and Pharmaceutical Sciences: A FIP Handbook to Support Implementation of Competency-Based Education and Training. Published September 2022. 〈https://www.fip.org/file/5338〉. Accessed May 1, 2024 . Google Scholar Indeed, the definition in the FIP handbook is: “competencies are preferably specified as observable abilities, integrating multiple components such as knowledge, skills, values and attitudes, and expressed as actual behaviour.” The same definition was advocated in 2017 by one of us (together with local colleagues) to describe a curriculum implementation process. 6 Koster A. Schalekamp T. Meijerman I. Implementation of Competency-Based Pharmacy Education (CBPE). Pharmacy. 2017; 5: 10https://doi.org/10.3390/pharmacy5010010 Crossref Google Scholar

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.993

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.501
Teacher spread0.472 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Pharmaceutical EducationSame topicHigher Education Learning PracticesFrench-language works237,207