Literature DB >> 28049683

Predicting Performance in Technical Preclinical Dental Courses Using Advanced Simulation.

Riki Gottlieb1, Mary A Baechle2, Charles Janus2, Sharon K Lanning2.   

Abstract

The aim of this study was to investigate whether advanced simulation parameters, such as simulation exam scores, number of student self-evaluations, time to complete the simulation, and time to complete self-evaluations, served as predictors of dental students' preclinical performance. Students from three consecutive classes (n=282) at one U.S. dental school completed advanced simulation training and exams within the first four months of their dental curriculum. The students then completed conventional preclinical instruction and exams in operative dentistry (OD) and fixed prosthodontics (FP) courses, taken during the first and second years of dental school, respectively. Two advanced simulation exam scores (ASES1 and ASES2) were tested as predictors of performance in the two preclinical courses based on final course grades. ASES1 and ASES2 were found to be predictors of OD and FP preclinical course grades. Other advanced simulation parameters were not significantly related to grades in the preclinical courses. These results highlight the value of an early psychomotor skills assessment in dentistry. Advanced simulation scores may allow early intervention in students' learning process and assist in efficient allocation of resources such as faculty coverage and tutor assignment.

Entities:  

Keywords:  computer simulation; computer-assisted instruction; dental education; educational technology; operative dentistry; prosthodontics

Mesh:

Year:  2017        PMID: 28049683

Source DB:  PubMed          Journal:  J Dent Educ        ISSN: 0022-0337            Impact factor:   2.264


  3 in total

Review 1.  Rethinking Assessment Concepts in Dental Education.

Authors:  Mohamed El-Kishawi; Khaled Khalaf; Dana Al-Najjar; Zahra Seraj; Sausan Al Kawas
Journal:  Int J Dent       Date:  2020-10-14

2.  Application of a multimedia-supported manikin system for preclinical dental training.

Authors:  Yi Yang; Gu Cheng; Xin Xing; Zhi Li; Wei Zhang
Journal:  BMC Med Educ       Date:  2022-09-27       Impact factor: 3.263

3.  Effectiveness of Virtual Reality and Interactive Simulators on Dental Education Outcomes: Systematic Review.

Authors:  Rania Moussa; Amira Alghazaly; Nebras Althagafi; Rawah Eshky; Sary Borzangy
Journal:  Eur J Dent       Date:  2021-08-24
  3 in total

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