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Development and Application of a New Learning Object for Teaching Operative Dentistry Using Augmented Reality
Author(s) -
EspejoTrung Luciana Cardoso,
Elian Silvia Nagib,
De Cerqueira Luz Maria Aparecia Alves
Publication year - 2015
Publication title -
journal of dental education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 68
eISSN - 1930-7837
pISSN - 0022-0337
DOI - 10.1002/j.0022-0337.2015.79.11.tb06033.x
Subject(s) - cronbach's alpha , dental education , remedial education , construct (python library) , consistency (knowledge bases) , internal consistency , reliability (semiconductor) , psychology , dentistry , construct validity , medical education , medicine , mathematics education , computer science , psychometrics , clinical psychology , artificial intelligence , power (physics) , physics , quantum mechanics , programming language
Learning objects (LOs) associated with augmented reality have been used as attractive new technologic tools in the educational process. However, the acceptance of new LOs must be verified with the purpose of using these innovations in the learning process in general. The aim of this study was to develop a new LO and investigate the acceptance of gold onlay in teaching preparation design at a dental school in Brazil. Questionnaires were designed to assess, first, the users’ computational ability and knowledge of computers (Q1) and, second, the users’ acceptance of the new LO (Q2). For both questionnaires, the internal consistency index was calculated to determine whether the questions were measuring the same construct. The reliability of Q2 was measured with a retest procedure. The LO was tested by dental students (n=28), professors and postgraduate students in dentistry and prosthetics (n=30), and dentists participating in a continuing education or remedial course in dentistry and/or prosthetics (n=19). Analyses of internal consistency (Kappa coefficient and Cronbach's alpha) demonstrated a high degree of confidence in the questionnaires. Tests for simple linear regressions were conducted between the response variable (Q2) and the following explanative variables: the Q1 score, age, gender, and group. The results showed wide acceptance regardless of the subjects’ computational ability (p=0.99; R2=0), gender (p=0.27; R2=1.6%), age (p=0.27; R2=0.1%), or group (p=0.53; R2=1.9%). The methodology used enabled the development of an LO with a high index of acceptance for all groups.