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Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software

PURPOSE: The aim of this study was to introduce rating criteria to evaluate student performance in a newly developed, digital wax-up preclinical program for computer-aided design (CAD) of full-coverage crowns and preliminarily investigate the reliability and internal consistency of the rating system...

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Autores principales: Mino, Takuya, Kurosaki, Yoko, Tokumoto, Kana, Higuchi, Takaharu, Nakanoda, Shinichi, Numoto, Ken, Tosa, Ikue, Kimura-Ono, Aya, Maekawa, Kenji, Kim, Tae Hyung, Kuboki, Takuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Prosthodontics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444485/
https://www.ncbi.nlm.nih.gov/pubmed/36105880
http://dx.doi.org/10.4047/jap.2022.14.4.203
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author Mino, Takuya
Kurosaki, Yoko
Tokumoto, Kana
Higuchi, Takaharu
Nakanoda, Shinichi
Numoto, Ken
Tosa, Ikue
Kimura-Ono, Aya
Maekawa, Kenji
Kim, Tae Hyung
Kuboki, Takuo
author_facet Mino, Takuya
Kurosaki, Yoko
Tokumoto, Kana
Higuchi, Takaharu
Nakanoda, Shinichi
Numoto, Ken
Tosa, Ikue
Kimura-Ono, Aya
Maekawa, Kenji
Kim, Tae Hyung
Kuboki, Takuo
author_sort Mino, Takuya
collection PubMed
description PURPOSE: The aim of this study was to introduce rating criteria to evaluate student performance in a newly developed, digital wax-up preclinical program for computer-aided design (CAD) of full-coverage crowns and preliminarily investigate the reliability and internal consistency of the rating system. MATERIALS AND METHODS: This study, conducted in 2017, enrolled 47 fifth-year dental students of Okayama University Dental School. Digital wax-up training included a fundamental practice using computer graphics (CG), multipurpose CAD software programs, and an advanced practice to execute a digital wax-up of the right mandibular second molar (#47). Each student’s digital wax-up work (stereolithography data) was evaluated by two instructors using seven qualitative criteria. The total qualitative score (0-90) of the criteria was calculated. The total volumetric discrepancy between each student’s digital wax-up work and a reference prepared by an instructor was automatically measured by the CAD software. The inter-rater reliability of each criterion was analyzed using a weighted kappa index. The relationship between the total volume discrepancy and the total qualitative score was analyzed using Spearman’s correlation. RESULTS: The weighted kappa values for the seven qualitative criteria ranged from 0.62 - 0.93. The total qualitative score and the total volumetric discrepancy were negatively correlated (ρ = -0.27, P = .09, respectively); however, this was not statistically significant. CONCLUSION: The established qualitative criteria to evaluate students’ work showed sufficiently high inter-rater reliability; however, the digitally measured volumetric discrepancy could not sufficiently predict the total qualitative score.
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spelling pubmed-94444852022-09-13 Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software Mino, Takuya Kurosaki, Yoko Tokumoto, Kana Higuchi, Takaharu Nakanoda, Shinichi Numoto, Ken Tosa, Ikue Kimura-Ono, Aya Maekawa, Kenji Kim, Tae Hyung Kuboki, Takuo J Adv Prosthodont Original Article PURPOSE: The aim of this study was to introduce rating criteria to evaluate student performance in a newly developed, digital wax-up preclinical program for computer-aided design (CAD) of full-coverage crowns and preliminarily investigate the reliability and internal consistency of the rating system. MATERIALS AND METHODS: This study, conducted in 2017, enrolled 47 fifth-year dental students of Okayama University Dental School. Digital wax-up training included a fundamental practice using computer graphics (CG), multipurpose CAD software programs, and an advanced practice to execute a digital wax-up of the right mandibular second molar (#47). Each student’s digital wax-up work (stereolithography data) was evaluated by two instructors using seven qualitative criteria. The total qualitative score (0-90) of the criteria was calculated. The total volumetric discrepancy between each student’s digital wax-up work and a reference prepared by an instructor was automatically measured by the CAD software. The inter-rater reliability of each criterion was analyzed using a weighted kappa index. The relationship between the total volume discrepancy and the total qualitative score was analyzed using Spearman’s correlation. RESULTS: The weighted kappa values for the seven qualitative criteria ranged from 0.62 - 0.93. The total qualitative score and the total volumetric discrepancy were negatively correlated (ρ = -0.27, P = .09, respectively); however, this was not statistically significant. CONCLUSION: The established qualitative criteria to evaluate students’ work showed sufficiently high inter-rater reliability; however, the digitally measured volumetric discrepancy could not sufficiently predict the total qualitative score. The Korean Academy of Prosthodontics 2022-08 2022-08-29 /pmc/articles/PMC9444485/ /pubmed/36105880 http://dx.doi.org/10.4047/jap.2022.14.4.203 Text en © 2022 The Korean Academy of Prosthodontics https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Mino, Takuya
Kurosaki, Yoko
Tokumoto, Kana
Higuchi, Takaharu
Nakanoda, Shinichi
Numoto, Ken
Tosa, Ikue
Kimura-Ono, Aya
Maekawa, Kenji
Kim, Tae Hyung
Kuboki, Takuo
Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title_full Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title_fullStr Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title_full_unstemmed Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title_short Rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
title_sort rating criteria to evaluate student performance in digital wax-up training using multi-purpose software
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444485/
https://www.ncbi.nlm.nih.gov/pubmed/36105880
http://dx.doi.org/10.4047/jap.2022.14.4.203
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