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Record W4417035852 · doi:10.2196/80082

Impact of the Practice of Playing Video Games on Technical Skills Development in Preclinical Dental Education: Preliminary Cross-Sectional Observational Study

2025· article· en· W4417035852 on OpenAlexvenueno aff
Roselyne Clouet, Thomas Remaud, Camille Boëffard, Samuel Serisier, Alexis Gaudin, Tony Prud’homme

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldDentistry
TopicDental Research and COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyObservational learningVideo recordingTraining (meteorology)Longitudinal studyDreyfus model of skill acquisition

Abstract

fetched live from OpenAlex

BACKGROUND: Video games are becoming increasingly accessible and occupy a prominent position among students' leisure activities. Recent studies have demonstrated that engagement with video games can facilitate the development of specific abilities, such as visuospatial skills and hand-eye coordination. Thus, it seemed relevant to investigate whether the practice of playing video games could enhance the technical capabilities of novice dental students. OBJECTIVE: The objective of this study was to ascertain whether dental students who identified themselves as video game players exhibited differences in fundamental technical skills in comparison to students who identified as nonplayers. This preliminary study aimed to validate the methodology and measurement tools for a subsequent prospective study. METHODS: Second-year dental students who were novices in the field of preclinical dental practice were divided into 2 groups: one designated nonplayers and the other players. The visual, motor, and cognitive coordination of the students was assessed using 3 different tests. The initial assessment focused on evaluating spatial ability, while the subsequent assessments addressed arm-hand coordination and the velocity of execution. The study data were collected in September 2021. RESULTS: This study included 92 second-year dental students (mean age 19.49, SD 0.8 years). Thirty-seven students were placed in the player group (40%), while 55 were placed in the nonplayer group (60%). The findings showed no statistically significant differences between the two groups when the 3 distinct tests were administered. The nonplayer group made fewer mistakes on the test evaluating spatial ability (P=.051) and achieved a higher score on the modified Precision Manual Dexterity Test, which evaluates arm-hand coordination, compared to the player group (P=.17), but without statistical significance. The nonplayer group took more time to perform the pulpotomy during the third test, which evaluated execution speed, compared to the player group, again without significance (P=.87). CONCLUSIONS: This study did not demonstrate significant differences between player and nonplayer dental students who participated in the study with regard to their fundamental technical abilities in a preclinical training environment. Nevertheless, it validated the feasibility of a methodology for a future longitudinal study to concentrate on the evolution of acquiring technical skills during preclinical training in these two populations. Consequently, further investigation is warranted to determine the potential impact of video games on the acquisition of surgical skills, including in dentistry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.139
GPT teacher head0.569
Teacher spread0.430 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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