Effects of mobile learning on writing panoramic radiograph reports: a quasi-experimental trial in dental education.

Dental education Dental radiology M-learning Mobile application Mobile technology

Journal

BMC medical education
ISSN: 1472-6920
Titre abrégé: BMC Med Educ
Pays: England
ID NLM: 101088679

Informations de publication

Date de publication:
01 Sep 2021
Historique:
received: 10 02 2021
accepted: 17 08 2021
entrez: 2 9 2021
pubmed: 3 9 2021
medline: 4 9 2021
Statut: epublish

Résumé

In dentistry, the reporting of panoramic radiographs is particularly challenging, as many structures are depicted in one image and pathologies need to be identified completely. To enhance the learning process for these interpretations, the advantages of the increasingly popular education method of mobile learning could be used. Therefore, this study aimed to determine the effectiveness of learning to report panoramic radiographs using an application (app) on a mobile device. The existing e-learning programme 'PantoDict' was further developed into a mobile app with a new training section. Participants of a dental radiology course were divided into two groups, one of which additionally had the chance to practise reporting panoramic radiographs using the app. A test to assess the knowledge gained was conducted at the end of the semester; the course and the app were also evaluated. The group that used the app showed significantly better results in the test than the control group (p < 0.05). Although the app group approved a high satisfaction using the app as an additional supplement to the course, this did not result in a higher overall satisfaction with the course. Further, these students observed that the traditional face-to-face seminar could not be replaced by the app. By using the PantoDict app, students were offered better training options for writing reports on panoramic radiographs, which resulted in significantly better test results than the results of the control group. Therefore, the mobile app is a useful supplement to classical education formats within the context of a blended learning approach.

Sections du résumé

BACKGROUND BACKGROUND
In dentistry, the reporting of panoramic radiographs is particularly challenging, as many structures are depicted in one image and pathologies need to be identified completely. To enhance the learning process for these interpretations, the advantages of the increasingly popular education method of mobile learning could be used. Therefore, this study aimed to determine the effectiveness of learning to report panoramic radiographs using an application (app) on a mobile device.
METHODS METHODS
The existing e-learning programme 'PantoDict' was further developed into a mobile app with a new training section. Participants of a dental radiology course were divided into two groups, one of which additionally had the chance to practise reporting panoramic radiographs using the app. A test to assess the knowledge gained was conducted at the end of the semester; the course and the app were also evaluated.
RESULTS RESULTS
The group that used the app showed significantly better results in the test than the control group (p < 0.05). Although the app group approved a high satisfaction using the app as an additional supplement to the course, this did not result in a higher overall satisfaction with the course. Further, these students observed that the traditional face-to-face seminar could not be replaced by the app.
CONCLUSION CONCLUSIONS
By using the PantoDict app, students were offered better training options for writing reports on panoramic radiographs, which resulted in significantly better test results than the results of the control group. Therefore, the mobile app is a useful supplement to classical education formats within the context of a blended learning approach.

Identifiants

pubmed: 34470635
doi: 10.1186/s12909-021-02889-0
pii: 10.1186/s12909-021-02889-0
pmc: PMC8411548
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

466

Informations de copyright

© 2021. The Author(s).

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Auteurs

Anna Bock (A)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany. abock@ukaachen.de.

Dirk Elvers (D)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

Florian Peters (F)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

Chris Kramer (C)

Department of Medical Informatics, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

Kristian Kniha (K)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

Frank Hölzle (F)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

Cord Spreckelsen (C)

Institute of Medical Statistics, Computer and Data Sciences, University Hospital Jena, Nachstraße 18, 07743, Jena, Germany.

Ali Modabber (A)

Department of Oral and Maxillofacial Surgery, University Hospital of Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.

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