MétaCan
Menu
Retour à la cohorte
Enregistrement W1964658130 · doi:10.1111/j.1440-1800.2007.00376.x

SCYLLA OR CHARYBDIS: NAVIGATING BETWEEN EXCESSIVE EXAMINATION AND NAÏVE RELIANCE ON SELF‐ASSESSMENT

2007· editorial· en· W1964658130 sur OpenAlexaff
Brian Hodges

Notice bibliographique

RevueNursing Inquiry · 2007
Typeeditorial
Langueen
DomaineMedicine
ThématiqueClinical Reasoning and Diagnostic Skills
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésLicensureCertificationCompetence (human resources)PsychologyMedical educationSocial psychologyMedicineLawPolitical science

Résumé

récupéré en direct d'OpenAlex

A Peculiar Disjunction Is Becoming Apparent In Discussions About Assessment Of Competence In The Health Professions. On One Hand, Over The Last 30 Years, There Has Been An Explosion Of Testing Technologies Such That Health Professionals Undergo An Almost Endless Series Of Examinations During Training And Practice. Written Tests, Such As The Ubiquitous Multiple-choice Examination, And Performance Tests, Such As The Objective Structured Clinical Examination, Are Used For Admissions, At Regular Intervals In Training, For Certification, Licensure And, In Some Professions, For Maintenance Of Certification. Several Objections Can Be Raised About This ‘culture Of Examination’, Including The Distorting Effect Of Examination On Student Learning; The Observation That Behavioural Checklists Penalize Experts Who Use Pattern Recognition And Synthesis; The Virtual Disappearance Of Feedback As Examination Banking And Testing Security Are Employed; And, Finally, The Contracting Out Of High-stakes Examinations And Examination Preparation, Resulting In Enormous Increases In Costs For Individual Health Professionals. Health Professionals Today Live In What Michel Foucault (1975/1995) Called An ‘examined Society’ In Which Constant Surveillance And Testing Locates The Responsibility For Competence Externally To The Individual. Disturbingly, Examination Developers Often Ignore Important Research About These Limitations And Side-effects Of Examination Technology (Norman 2005; Schuwirth And Van Der Vleuten 2006). Simultaneously There Is A Very Different Discourse About Assessment That Is Tethered To A ‘trinity’ Of Reflective Technologies: Self-assessment, Self-direction And Self-regulation (Hodges 2004). Emerging From Adult Learning Theory, This Discourse Is Centred On The Idea That The Locus For Control Of Competence Is Internal (Norman 1999). This Model Has Spawned A Very Different Set Of Assessment Technologies That Includes Portfolios, Reflective Diaries, Logbooks, Self-directed Web-based Modules, Etc. Oddly, Enthusiasts For This Approach Seem To Give Little Consideration To The Enormous Literature Showing That Self-assessment Is Actually Very Poor. In Many Studies, A Large Number Of Learners Can Be Found Who Appear Unable To Identify Their Own Strengths And Weaknesses (Davis Et Al. 2006). Furthermore, Even When Self-assessment Is Possible, It Does Not Necessarily Lead To Improvements In Practice (Davis Et Al. 1995). Eva And Regehr (2005) Have Called For A Reconceptualization Of Self-assessment And Nelson And Purkis (2004) Have Argued The Folly Of Basing Systems Of Competence Assessment On The Tenuous Process Of ‘reflection’. While These Discursive Trains Appear To Be Headed Down Completely Different Tracks, We Are Confusing Students. High-stakes, Summative Assessments Are No Doubt Essential To Discover And Remove A Few Very Low Performers (Although The Eventual Fail Rate On Most Health Professional Examinations Is Near Zero); To Reassure The Public That The Professions Are Seriously Monitoring The Knowledge And Skills Of The Next Generation; And For Purposes Of Standard Setting Across The Country And Internationally. On The Other Hand, The Testing Machine That Has Been Created Has Almost Nothing To Do With Learning. In The Absence Of Meaningful Feedback, And With Levels Of Test Security That Completely Disconnect Examinations Both Spatially And Temporally From Where Learning Occurs, Big Exams Contribute Very Little To Improving Individual Competence. Yet Living In The Comfortable Delusion That Individual Health Professionals Will Engage In A Continuous Process Of Self-reflection, Identify Their Strengths And Weakness, Find Self-directed Learning Opportunities To Remedy Them And Thereby Improve Their Practice Leaves The Reader Of Literature On Self-assessment Incredulous, If Not Horrified. How Might We Imagine A Rapprochement Of These Two Poles? How Does The Health Professional Educator Navigate Between The Scylla Of Excessive External Examination And The Charybdis Of Naïve Reliance On Self-assessment? It May Be That The Solution Lies In Some Form Of Guided Self-assessment — Just Enough External Input To Correct For The Vagaries And Inaccuracies Of Self-judgement, But Not So Much That It Deforms The Exercise To Meet The Needs Of Examiners Or Institutions. Working With A Mentor, Teacher Or Coach Who Can Help A Student (Or A Professional In Practice) Be Sure They Know ‘when To Slow Down’ (Moulton Et Al. 2007) Or ‘when To Look It Up’ (Eva And Regehr 2007) May Be The Basis Of A More Evidence-based Approach To Competence Assessment. Notwithstanding The Potential For Abuses Of Power When One's Self-reflections Are ‘guided’ By Someone Else (Hodges 2004), This Approach Would Seem To Fit Better With Evidence Of How Competence Works.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,035
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,546
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,035
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,444
Écart entre enseignants0,393 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNursing InquiryMême sujetClinical Reasoning and Diagnostic SkillsTravaux en français237 207