Literature DB >> 19577160

Evaluation of the radiographic cephalometry learning process by a learning virtual object.

Heraldo Luis Dias Silveira1, Maria João Gomes, Heloísa Emilia Dias Silveira, Reni Raymundo Dalla-Bona.   

Abstract

INTRODUCTION: Radiographic cephalometry is a complex area of study. The literature shows a lack of interobserver reproducibility in the definition and identification of cephalometric landmarks. The aim of this study was to test a learning virtual object (LVO) called ceph learning used in the teaching of radiographic cephalometry and to verify whether it improves performance of the landmarking process.
METHODS: A total of 40 undergraduate students were divided into 2 groups. Group A was taught according to the conventional teaching method of theory and practical classes, and group B was taught with an LVO. The students' learning performance was tested by using a multiple-choice questionnaire that covered the knowledge and understanding of cephalometry and by the index of correct landmark identification. The Student t test was used to check statistical differences between the 2 groups. LVO usability was evaluated with a questionnaire based on the system usability scale.
RESULTS: In the first posttest, the Student t test showed no significant differences (P >0.05). However, in the second posttest 15 days later, a decrease was observed in the scores of group A, with significant differences (P <0.05). Students approved the LVO usability aspects--effectiveness, efficiency, and satisfaction (82.45% +/- 6.78%).
CONCLUSIONS: LVO was shown to be a useful and efficient tool in the learning process and might assist the learning of cephalometry.

Mesh:

Year:  2009        PMID: 19577160     DOI: 10.1016/j.ajodo.2009.03.001

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  3 in total

1.  Influence of a programme of professional calibration in the variability of landmark identification using cone beam computed tomography-synthesized and conventional radiographic cephalograms.

Authors:  E L Delamare; G S Liedke; M B Vizzotto; H L D da Silveira; J L D Ribeiro; H E D Silveira
Journal:  Dentomaxillofac Radiol       Date:  2010-10       Impact factor: 2.419

2.  An systematic review of e-learning outcomes in undergraduate dental radiology curricula-levels of learning and implications for researchers and curriculum planners.

Authors:  Michael G Botelho; Kalpana R Agrawal; Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2018-08-01       Impact factor: 2.419

3.  Efficacy of smartphone-based Mobile learning versus lecture-based learning for instruction of Cephalometric landmark identification.

Authors:  Amin Golshah; Fatemeh Dehdar; Mohammad Moslem Imani; Nafiseh Nikkerdar
Journal:  BMC Med Educ       Date:  2020-08-31       Impact factor: 2.463

  3 in total

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