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Enregistrement W4398166782 · doi:10.1152/physiol.2024.39.s1.2516

Student Perspectives on the Utility of Crib Sheets for Learning

2024· article· en· W4398166782 sur OpenAlexaff
Anita Woods, Bryn Bhalerao

Notice bibliographique

RevuePhysiology · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation and Technology Integration
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésPsychologyBiology

Résumé

récupéré en direct d'OpenAlex

In response to the noticeable rise in anxiety with the return to in person, closed book exams, our department embraced an alternate testing method that permitted the use of a self-created note resource, also known as a crib sheet, in a third year Human Physiology course. Although anxiety reduction was certainly a reason for this change in evaluation methods, it was predicted that crib sheet exams would encourage a shift to deeper learning studying methods, rather than a reliance on rote memorization. Crib sheets have been shown to decrease test-taking anxiety (Ozer, 2021), and different crib sheet organizational strategies have been correlated with increased exam performance (Dickson & Bauer, 2008; Shaw & Almeida, 2018). However, there is a lack of understanding of the benefits and potential detriments beyond the effect of crib sheets on exam performance (Larwin et. al, 2013). Furthermore, what has not been established is if crib sheets promote more learning prior to the exam or if they are a source of dependency and therefore detract from learning. From the two hypotheses that were first suggested by Dorsel and Cundiff (1979), we expect that most students learn the material while they create their crib sheets, supporting the coding hypothesis rather than a reliance on the crib sheet, which would support the dependency hypothesis. For each of the three exams in this course, students were permitted to bring a 4x6 inch cue card with them containing any information they deemed important. After each exam, students completed an optional post-exam reflection, which was a combination of Likert scale responses to questions about their anxiety levels, questions about study methods, and about the utility of the crib sheet that they created for the exam. At the end of the academic year, data was deidentified for consenting participants for subsequent analyses. In total, of the 434 registrants in this third-year physiology course, 58 consented to have their data analyzed. Additionally, instructors involved in courses that used crib sheets, including this physiology course, were also invited to participate in the study for their perspectives of the use of crib sheets. Of the 14 total instructors who taught in these team-taught courses that used crib sheets, 6 agreed to participate in the interviews. Semi-structured interviews were conducted for instructors’ perspectives towards crib sheets. The transcripts from these interviews were analyzed by thematic analysis using NVivo. One of the compelling findings from the instructors’ interviews within our study cohort, show that although most were accepting of the use of crib sheets, they were also hesitant to embrace crib sheets as a pedagogical tool due to the lack of literature that would support these as a learning tool. However, early investigation of both Likert scale responses and open-ended text responses from the student participants shows that many students report learning while creating the crib sheets. Furthermore, student participants reported a change in study methods while preparing for crib sheet permitted exams, with a shift to incorporating more methods that promote less rote memorization, such as condensing notes and creating flow charts/mind maps. Therefore, early analyses of student data provide support for the coding hypothesis, which supports that learning does occur during crib sheet construction in a human physiology course. From these analyses, which combine student and instructor perspectives, we further recognize the importance of delineating the utility of crib sheets, based off of student reports. With our study, we aim to advise teaching and learning practices surrounding the use of crib sheets in higher education. REFERENCES Dickson KL, Bauer JJ. Do Students Learn Course Material During Crib Sheet Construction? Teach Psychol. 2008;35(2):117-120. doi:10.1080/00986280801978343 Dorsel TN, Cundiff GW. The Cheat-Sheet: Effcient Coding Device or Indispensable Crutch? J Exp Educ. 1979;48(1):39-42. doi:10.1080/00220973.1979.11011712 Larwin KH, Gorman J, Larwin DA. Assessing the Impact of Testing Aids on Post-Secondary Student Performance: A Meta-Analytic Investigation. Educ Psychol Rev. 2013;25(3):429-443. doi:10.1007/s10648-013-9227-1 Özer S. A Convergent Parallel Mixed-Method Research into the Use of the Cheat Sheet in Teacher Education: State Test Anxiety, Exam Scores and Opinions of Prospective Teachers. Turk Online J Educ Technol - TOJET. 2021;20(3):101-113. Shaw JA, Almeida MG. Does the Quality of Student Crib Cards Influence Anatomy and Physiology Exam Performance? HAPS Educ. 2018;22(1):50-54. doi:10.21692/haps.2018.005. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,817
Score d'incertitude au seuil0,523

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,050
Tête enseignante GPT0,417
Écart entre enseignants0,367 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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