ArticleBritish dental journal2019
Mobile learning in dentistry: challenges and opportunities.
Article in British dental journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed, 37 citations in OpenAlex.
- Design, Implementation and Evaluation of Educational Aid Game for Differential Diagnosis of Oral Lesions Through Mobile Learning.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Trial
- Integrating digital technologies in clinical dentistry training: a framework for competency-based education.BMC medical education · 2025Article
- Behaviors and attitudes towards mobile learning during course work and scientific research among dental, medical and non-medical undergraduates: a cross-sectional study.BMC medical education · 2024Article
- Visualizing Anatomy in Dental Morphology Education.Advances in experimental medicine and biology · 2023Article
- Learning strategies of dental students in Buenos Aires, Argentina prior to and during the COVID-19 pandemic.Acta odontologica latinoamericana : AOL · 2022Article
- Effect of an endodontic e-learning application on students' performance during their first root canal treatment on real patients: a pilot study.BMC medical education · 2022Article
- Social media use habits, and attitudes toward e-professionalism among medicine and dental medicine students: a quantitative cross-sectional study.Croatian medical journal · 2021Article
- Effectiveness of web application as educational media in increasing the caries risk knowledge and decreasing the caries risk score among dental students in Indonesia.BMC oral health · 2021Article
- Effect of online learning for dental education in asia during the pandemic of COVID-19.Journal of dental sciences · 2021Article
- Identifying Risk Factors Affecting the Usage of Digital and Social Media: A Preliminary Qualitative Study in the Dental Profession and Dental Education.Dentistry journal · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction The impact of smartphone technology is changing the approach to learning and teaching in clinical dental education. The aim of this study was to understand the challenges, opportunities and attitudes that both dental undergraduate students in an English dental school and tutors experience when using electronic learning.Materials and methods Six faculty members and 20 students agreed to take part in semi- structured interviews. Topic question guides for the student interviews focused on searching for information and how they used mobile learning. Questions also asked about the barriers encountered when accessing information on the internet, their perspective on the term 'evidence-based' information, and their use of mobile apps. The question topic guide for faculty was similar, with an emphasis on their attitudes to the introduction of such technology in dental education.Results Both groups reported active use of mobile learning tools. However, students are in need of training and further guidance when searching for, evaluating and synthesising evidence-based information online. Likewise, tutors need to become familliar with e-learning tools so that they may better support their students.Conclusion The results from the study show that participants need training workshops to ensure that students are not only accessing evidence-based information, but can differentiate between evidence-based and non-evidence-based information apps. The tutors in this study also require information on how to provide their students with advice on using mobile technology. Institutions involved with clinical dentistry should acknowledge such challenges.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.