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

IntroductionRadiographic 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.MethodsA 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.ResultsIn 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%).ConclusionsLVO was shown to be a useful and efficient tool in the learning process and might assist the learning of cephalometry.