MétaCan
Menu
Retour à la cohorte
Enregistrement W7116684671 · doi:10.1002/jdd.70144

Incorporation of a Cellphone App to Improve Students' Learning Experiences

2025· article· en· W7116684671 sur OpenAlexaffabout
Nazlee Sharmin, A. Chow

Notice bibliographique

RevueJournal of Dental Education · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueAnatomy and Medical Technology
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésCurriculumCore curriculumAugmented realityComponent (thermodynamics)Oral healthCognitionVirtual microscopyCognitive loadTeaching method

Résumé

récupéré en direct d'OpenAlex

Histology, the study of microscopic tissue structure, is a core component of health professional education, yet it frequently fails to engage students [1]. Reported challenges in learning histology include the abstract nature of the topic, the cognitive load of learning new terminology, insufficient teaching time, and lack of suitable teaching strategies to stimulate students' interest [2]. Traditionally, histology is taught through a lecture–laboratory model, where microscopy labs provide hands-on experience to reinforce classroom instructions. Although limited instructional time has been identified as a key factor contributing to reduced student motivation, recent curricular reforms have further decreased contact hours to create more integrated medical and dental curricula [3]. We implemented an augmented reality (AR)-based cellphone app named Tooth ARcademy [4] as a teaching and learning tool at the Mike Petryk School of Dentistry, University of Alberta. The app has three modes: learn, practice, and quiz (Figure 1). The AR-based learn mode is designed so that when users view an unannotated target histological image through their device's camera, the annotations are revealed to them. The practice mode allows students to independently access a large collection of annotated and unannotated histology sections outside of classroom hours. Using the quiz mode, students can self-assess and reinforce learning at their own pace. Tooth ARcademy was introduced to first-year doctor of dental surgery (DDS) students as a required tool for the oral biology lab. During part of the lab activity, students were divided into small groups, provided with worksheets, digital slides, and static images of histological sections. The activities included identifying different microanatomical structures on a target histological slide and answering follow-up questions. After completing these tasks, students were asked to verify their work using the learn mode of Tooth ARcademy, followed by a debriefing session with an instructor. Students were also introduced to the app's practice and quiz modes as additional learning resources. A voluntary, author-developed, non-validated survey was administered to gather students' perceptions of using the app. Incorporating the app made the labs more interactive and reduced the need for one-on-one discussions with the instructor. In total, 61% of the class (n = 20) responded to the survey. Notably, 100% of participants agreed or strongly agreed that the app made learning easier and more enjoyable and helped clarify concepts. In addition, 85% of participants would like to use a similar app in other areas of their studies. Most participants (65%) reported using the app 5–10 times. Specifically, 42% of participants found the app's quiz mode most beneficial (Figure 2). Students’ written responses to open-ended questions also showed their positive attitude towards Tooth ARcademy (Table 1). • ToothAR was extremely helpful in solidifying my knowledge by using the quiz function [sic]. • It helped me practice histology slides, although I haven't used it as much as I probably should have in order to study. Definitely a useful tool, though, and I appreciate having it. • I love that it is a mobile app that I can use when on public transit! • I thought this app was very helpful for self-testing of identification in histological slides. • I only used it during labs and forgot that the other features (e.g., quiz mode) exist. If we were reminded they exist or were given a more detailed walk-through during class/lab, I probably would've used it more • I enjoyed this app and felt like it was helpful. The only reason I used it 5–10 times was because we learn so many other things in this program, so I had to study on other content as well. • I found that when learning the materials, I typically didn't think of using Tooth ARcademy to learn, but rather to clarify structure in histological sections. I also often simply searched up an image of a histological section rather than go through the application. Its main use for me was during the Oral Biology lab. • Quiz mode is very effective for consolidating and testing our knowledge. I did not feel that practice mode was contributing too much to my knowledge, but maybe I did not use it at the right time in my learning [sic]. • Good interface and helpful • Worked great, no complaints • App was intuitive and helpful in labeling certain structures. • I think a helpful improvement would be increasing the amount of different or irregularly stained slides seen—it is easier to go through the same few slides and identify different structures when they are very clear. • Having even more questions for practice • Interface is slightly large, but still functional • More questions would be nice • More interactiveness, whether that is we can slide and adjust the images in learn mode. • I wish there were more quiz questions available • The last time I used it, I had issues with it crashing. I had to delete and redownload the app, and then it worked [sic]. Today's health professions students are primarily from Generation Z (born 1995–2009), a tech-savvy, fast-paced generation. We have learned that incorporating such apps can engage Generation Z students and provide additional resources for self-paced learning. It can reduce extraneous cognitive load by providing an alternative scaffold for learning [5]. This study has a small sample size and lacks long-term outcome data. Future research can focus on larger populations, long-term impact of the app, and compare app-based and traditional teaching. This study was supported by School of Dentistry Education Research Fund (SDERF-FALL2023-01). This study has been approved by the Research Ethics Board of the University of Alberta (ID: Pro00144212). The authors declare no conflicts of interest.

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: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,717
Score d'incertitude au seuil0,149

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 Opus0,003
Tête enseignante GPT0,272
Écart entre enseignants0,269 · 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'étudeExpérimental (laboratoire)
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
Publié2025
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueJournal of Dental EducationMême sujetAnatomy and Medical TechnologyTravaux en français237 207