Evidence map›Paper›PMID 39873029›Full record

ArticleJournal of dental sciences2025

Digital integration in dental education: A novel self-directed learning model using intraoral scanners for tooth preparation training.

Chia-Ming Liu, Min-Hsun Hsu, Min Yee Ng, Chuan-Hang Yu

Abstract read
In one paragraph

Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Beyond the Drill: Can Digital Gadgets Redefine the Future of Dental Education?European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chia-Ming LiuSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Min-Hsun HsuSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Min Yee NgSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Chuan-Hang YuSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Traditional dental education faces challenges, such as high student-to-faculty ratios and disruptions like the COVID-19 pandemic, which limit hands-on learning opportunities. Digital technologies, including intraoral scanners, offer potential solutions by improving accuracy and efficiency in clinical practice. This study explored the integration of digital tools in a self-directed learning model for the fixed prosthodontic tooth preparation. Materials and methods: This study, conducted with 81 fourth-year dental students, incorporated digital tools like intraoral scanners into practical training. Students completed a pre-intervention evaluation, followed by training on digital analysis tools, and concluded with a self-directed learning protocol. The study assessed students' theoretical knowledge and practical skills using pre- and post-intervention tests, digital scans, and feedback questionnaires. Statistical analyses, including paired t-tests, evaluated the effectiveness of the intervention. Results: Significant improvements were observed in both theoretical knowledge (pre-test 86 %, post-test 98 %, Conclusion: Integrating digital scanning technology with traditional teaching enhanced student competence in tooth preparation, reduced anxiety, and provided objective evaluation criteria. The self-directed learning model supported skill development and independent problem-solving, indicating the potential for broader application in dental education. Future research should explore long-term impacts on clinical performance and optimize digital tool integration throughout the curriculum.

Indexed as

Dental educationDigital dentistryIntraoral scannerSelf-directed learningTooth preparation

Identifiers

PMID39873029
PMCPMC11762640

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.