Omolbanin Rahdar; Azizollah Arbabisarjou; Somayeh Shahroudi
Abstract
Background Paying attention to students’ academic burnout and identifying the factors affecting it is one of the concerns of higher education authorities. Objectives The purpose of this study was to investigate the effect of quality of educational services and happiness on students’ academic ...
Read More
Background Paying attention to students’ academic burnout and identifying the factors affecting it is one of the concerns of higher education authorities. Objectives The purpose of this study was to investigate the effect of quality of educational services and happiness on students’ academic burnout. Methods In this descriptive-analytical study, 477 students of Zahedan University of Medical Sciences participated in the academic year 2017 - 2018. The sampling method was stratified. Data were collected using the SERVQUAL Questionnaire, Isfahan-Fordyce Happiness Inventory (IFHI) and Breso Burnout Questionnaire. Then, they were analyzed by Pearson’s correlation coefficient, independent -test, One-way ANOVA and Multiple linear regression using SPSS. P value less than 0.05 was considered significant. Results According to Pearson correlation coefficient, there was a significant relationship between students' happiness and academic burnout (P < 0.001), but there was no significant relationship between the quality of educational services and academic burnout (P = 0.060). The level of academic burnout was higher in male students than in female students (P = 0.003). Multiple linear regression analysis showed that only the students’ happiness variable significantly predicted variations in academic burnout (P = 0.001). Conclusions In order to reduce students’ academic burnout, effective factors such as happiness should be considered by the respective authorities and educational packages should be used to promote happiness and increase the quality of educational services.
Mohammad Reza Baneshi; Somayeh Shahroudi; Maliheh Rezaei; Farzaneh Zolala; Maryam Okhovati; Ali Akbar Haghdoost
Volume 11, Issue 2 , August 2014, , Pages 196-204
Abstract
Background & Objective: Improving the quality of education is the most central values of academic institutions and higher education Given professors have played a decisive role in this context for assessing the quality of education we need to evaluate the quality of instruction One of the ...
Read More
Background & Objective: Improving the quality of education is the most central values of academic institutions and higher education Given professors have played a decisive role in this context for assessing the quality of education we need to evaluate the quality of instruction One of the common methods for professors evaluation is evaluation by students that it usually takes place at the end of each semester With regard to the professors evaluation data are of various types: the longitudinal data or repeated measurements over time therefore to evaluate it the quality of instruction should be used with longitudinal data analysis However such methods often are explained by complex methodology This article introduces multilevel linear model and generalized estimating equations approach and valueadded models by simple and applied expression as appropriate models for analysis of longitudinal data such as professors evaluation data
