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Practice makes perfect? Association between students' performance measures in an advanced dental simulation course.

Mary A Baechle1, Riki Gottlieb2, Caroline K Carrico3

  • 1Department of General Practice, Virginia Commonwealth University School of Dentistry, Richmond, Virginia, USA.

Journal of Dental Education
|June 26, 2022
PubMed
Summary

Advanced dental simulation practice scores predict student exam performance. Deliberate practice and self-assessment using simulation tools enhance psychomotor skills in novice dental learners.

Keywords:
dental educationpsychomotorself-assessmentsimulationvirtual reality

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Area of Science:

  • Dental Education
  • Medical Simulation
  • Psychomotor Skill Development

Background:

  • Assessing preclinical dental skills is crucial for developing proficient dentists.
  • Advanced dental simulation offers objective performance metrics.
  • Understanding the link between practice and exam performance can optimize training.

Purpose of the Study:

  • To investigate the correlation between student practice performance metrics and subsequent exam scores in preclinical dental procedures.
  • To determine the predictive value of practice behaviors within an advanced dental simulation environment.
  • To analyze the relationship between time spent on specific simulation tasks and final assessment outcomes.

Main Methods:

  • Utilized data from first-year dental students using Advanced Simulation software (DentSim™).
  • Analyzed practice metrics (sessions, scores, time) and exam scores for Class I and Class II preparations.
  • Employed paired t-tests and multiple linear regression to assess score comparisons and performance relationships.

Main Results:

  • Practice scores and exam scores were significantly associated, with exam scores being higher.
  • For Class I preparations, higher practice scores and more self-evaluation time positively correlated with exam scores, while preparation time showed a negative correlation.
  • For Class II preparations, exam scores correlated with practice scores and the number of practice attempts, but not with exam preparation or self-evaluation time.

Conclusions:

  • Deliberate, repetitive practice within advanced dental simulation predicts performance.
  • Simulation-based self-assessment is valuable for early psychomotor skill acquisition.
  • Further research is needed to confirm skill transfer to clinical patient care settings.