beSMART

Development of Learning Simulation System for Dentistry Student
(A case Study in Dentistry Students of Brawijaya University)

Nurul Qamariyah , Irman Hermadi, Agus Buono

The development of science and technology, particularly computer science, has affected many fields including dentistry.  Several learning methods were applied to develop the clinical reasoning of prospective dentists.  This clinical reasoning has not yet facilitated the evaluation of student clinical reasoning.  This study was aimed at designing a learning evaluation system which could measure the level of clinical reasoning of prospective dentists and provide evaluation assistance in clinical reasoning test of prospective dentist at Faculty of Dentistry Brawijaya University (FKGUB), Malang.  An Object Oriented Analysis and Design (OOAD) method was used.  A CodeIgniter (CI) framework with Model, View, Controller (MVC) model was used.  Results showed that 91% students received some learning and clinical reasoning test by using PINUS.  This indicated that students felt comfortable and they enjoyed using PINUS as it was easy to follow.  In addition, PINUS could also develop investigation and determine clinical reasoning performance of the students. 

Clinical Reasoning, Learning Evaluation system, Simulation Learning

RELATIONSHIPS AMONG CORPORATE IMAGE, SERVICE QUALITY, SWITCHING COSTS, CUSTOMER SATISFACTION AND LOYALTY: AN EXAMPLE OF TOYOTA’S DISTRIBUTORS IN TAIWAN

Ching-Lin Huang

This paper seeks to understand the relationships among corporate image, service quality, switching costs, customer satisfaction and loyalty by referring to customer satisfaction as the triple mediating variable. A survey was conducted via convenience sampling on front-desk personnel, supervisors and customers, existing and prospective, of Toyota’s service centres and distributors. This paper applies the partial least squared linear structural equation modelling (PLS-SEM) to examine the goodness-of-fit of the linear model and outer model. This is followed with a path effect analysis of the structural model with Bayesian estimations and path coefficient of latent variables (a.k.a. unobservable variables) in the inner model. Sobel tests are also conducted to gauge whether the direct effects, mediating effects and total efficient effects are significant. The research findings indicate correlations among corporate images, service quality, switching costs, customer satisfaction and loyalty. Meanwhile, customer satisfaction has the almost complete mediating effects. Meanwhile, the research findings serve as a template for companies to boost customer satisfaction with better corporate image and service quality, and prevent customer loss by increasing switching cost. This will boost customer loyalty and repurchase intention of existing and prospective customers.