Augmented reality technology as a method of distance learning for local anesthesia training

Mladenović, Raša; Mladenović, Kristina; Milanović, Pavle; Selaković, Dragica

doi:10.1002/jdd.12581

Cited by 9 publications

(15 citation statements)

References 5 publications

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“…It remains to be seen if this trend will self‐correct because of the pandemic—a time in which all dental schools were forced to rely more of simulation exercises as nationwide lockdowns kept students and teachers out of the DSCs. This resulted in much innovation and a movement toward more simulation‐type exercises due to the lack of availability of clinical experiences 6–11 . Perhaps the pre‐clinical area will continue to grow as a site for educational innovation and we encourage all readers to consider disseminating their pre‐clinical innovations through the JDE.…”

Section: Discussionmentioning

confidence: 99%

“…This resulted in much innovation and a movement toward more simulation-type exercises due to the lack of availability of clinical experiences. [6][7][8][9][10][11] Perhaps the preclinical area will continue to grow as a site for educational innovation and we encourage all readers to consider disseminating their pre-clinical innovations through the JDE.…”

Section: Abstract From Titlesmentioning

confidence: 99%

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Using data about accepted and rejected articles in the Journal of Dental Education to increase authors’ chances of article acceptance

Nalliah

Kimner

Reddy

2022

Journal of Dental Education

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Purpose/objectives The purpose of our study was to identify trends and compare keywords from titles and methods among articles accepted and rejected for publication in the Journal of Dental Education (JDE). Methods The titles and abstracts of JDE articles submitted between 2010 and 2020 were extracted. We studied the frequencies of keywords in the title and abstracts and used simple descriptive data to present the information. Additionally, keywords from the methods section from JDE articles reviewed between 2015 and 2020 were analyzed by acceptance versus rejection. University of Michigan Medical School's committee on human subject studies provided an exemption (HUM00196884). Results Articles with the terms “knowledge,” “skills,” and “attitudes” appear, separately or together, in the titles of submissions to JDE 510 times during the study period—190 in accepted articles and 320 in rejected articles (an acceptance rate of 37.3%). The term “clinical” is in the title of 337 articles submitted to JDE—195 accepted and 142 rejected (an acceptance rate of 57.9%). However, the term “pre‐clinical” is associated with only 56 articles in the last 10 years—36 accepts and 20 rejects (64.3%). Studies with cross‐sectional study design were accepted at a rate of 72.0% and manuscripts with cohort study designs were accepted at 53.3%. Systematic reviews were accepted at 44.4%, surveys were accepted at 36.7%, meta analyses were accepted at 28%. Questionnaires were accepted at 14%. Conclusions Higher quality study designs were more likely to be accepted for publication. Studies including a randomizing process and studies that were longitudinal in nature were more likely to be accepted for publication.

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Section: Discussionmentioning

confidence: 99%

Section: Abstract From Titlesmentioning

confidence: 99%

Using data about accepted and rejected articles in the Journal of Dental Education to increase authors’ chances of article acceptance

Nalliah

Kimner

Reddy

2022

Journal of Dental Education

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“…One of the more sophisticated learning methods is based on augmented reality (AR) technology, which is being increasingly used in dental training. In AR technology, the existing environment is enhanced by adding virtual elements, rather than replaced with a completely new environment 1 …”

Section: Problemmentioning

confidence: 99%

Augmented reality as e‐learning tool for intraoral examination and dental charting during COVID‐19 era

Mladenović

Matvijenko²,

Subaric³

et al. 2021

Journal of Dental Education

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“…Therefore, the value of virtual teaching aids has become increasingly relevant, and especially so for resources that are representative of the anatomical variation seen clinically. Although the practical, ethical, and economic benefits of virtual models are extensive, 1–4 models developed for traditional digital atlases are usually sculpted by digital artists and idealized, therefore lacking clinical fidelity. In other words, most 3D models found in traditional atlases fail to portray the large variability of clinical anatomy, especially dental anatomy.…”

Section: Problemmentioning

confidence: 99%

Rapid development of a novel and open‐access mixed reality resource for dental education

Zhou

Thang

2021

Journal of Dental Education

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Augmented reality technology as a method of distance learning for local anesthesia training

Cited by 9 publications

References 5 publications

Using data about accepted and rejected articles in the Journal of Dental Education to increase authors’ chances of article acceptance

Using data about accepted and rejected articles in the Journal of Dental Education to increase authors’ chances of article acceptance

Augmented reality as e‐learning tool for intraoral examination and dental charting during COVID‐19 era

Rapid development of a novel and open‐access mixed reality resource for dental education

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