Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...

Introduction & Objective: Paying attention to the process and approaches to the problem solving from the view of the e-learning courses designers, will improve the aspects of development. The problem-based learning provides the discovery structure and helps the students to internalize their learning. Therefore, the purpose of this study is to investigate the factors that lead to more utili...

one very decisive factor in students’ academic destiny is the result they get at final term examinations. because of its importance, both students and teachers are curiously anxious about them. as normally it is the case, these final term tests are prepared hurriedly in short time by teachers which result in students’ dissatisfaction, complaining on how the test was different from their expecta...

Background: one of the most important individual factors that affect the acceptance and effectiveness of mobile learning is readiness. The aim of this study is to assess the Mobile Learning Readiness in dental students of Zanjan University of Medical Sciences in 2018-2019. Methods: In this descriptive crosssectional study, a total of 355 dental students at Zanjan University of Medical Scie...