Mahmoud Omidi; Hassan Najafi; Mehdi B asatniya; Ayub Alifat
Volume 13, Issue 2 , June 2016, , Pages 200-204
Abstract
Background & Objective: One of the main goals of higher education is evaluating teachers educational performance to improve teaching The results may be used to increase the teachers job performance and to promote teaching and learning processes In this regard students evaluation of their teachers ...
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Background & Objective: One of the main goals of higher education is evaluating teachers educational performance to improve teaching The results may be used to increase the teachers job performance and to promote teaching and learning processes In this regard students evaluation of their teachers is one of the most common evaluation methods in universities and educational centers Thus this study aimed to compare the faculty members and students viewpoints about the factors influencing evaluation of teachers by students Methods: In this crosssectional descriptive study 93 teachers and 93 students selected via stratified random sampling method were enrolled The data collection tool was a researchermade questionnaire containing 3 dimensions moral and behavioral (8 items) educational (10 items) and compliance with training rules (8 items); the face and content validities were confirmed by academic specialists and its reliability was confirmed Data analysis was carried out using SPSS20 statistical software and with help of descriptive statistics and independentt test Results: From the teachers viewpoint the overall mean score of the moral and behavioral educational and compliance with training rules factors were 345 (± 052) 432 (± 084) and 459 (± 058) respectively From the students viewpoints these values were 325 (± 047) 404 (±078) and 436 (± 071) respectively Independentt test showed that with the assumption of equality of variances there were not any significant differences between the characteristics Conclusion: Efforts for improving teacher evaluation in universities with the assistance of authorities and experts and on the one hand using the results in curriculum content of inservice teachers can help much to improve teaching quality
Somayeh Shahroudi; Aliakbar Haghdoost; Farzaneh Zolala; Maryam Okhovati; Mohammadreza Baneshi
Volume 12, Supplement , July 2015, , Pages 131-139
Abstract
Background and Objective: In order to promote quality of education, teaching performances of all academic staff are evaluated by students every semester. This study aims to address the changing trend of staff scores in different semesters, and factors affecting it, in Kerman University of Medical Sciences, ...
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Background and Objective: In order to promote quality of education, teaching performances of all academic staff are evaluated by students every semester. This study aims to address the changing trend of staff scores in different semesters, and factors affecting it, in Kerman University of Medical Sciences, Iran, using multilevel modeling. Moreover, the results were compared to that of simple linear regression modeling.
Methods: In the present analytical study, the scores of 336 academic staff of Kerman University of Medical Sciences during 2008 to 2012 were extracted from the students’ monitoring website. The tutor’s code was used for the identification of their scores in different semesters and was entered into the multilevel models. In order to investigate the effects of gender, work experience (in years), school (seven schools), and academic rank (master, assistant professor, associate professor, professor), the simple regression and multilevel models were compared. To study the significance of the random intercepts, the likelihood ratio test was used. In addition, to study the goodness of fit of the models, the Akaike information criteria (AIC), Bayesian information criteria (BIC), and the mean squared error (MSE) were used.
Results: The results showed that time had a significant positive impact on the improvement of staff scores. However, the scores of male and female staff were not significantly different. The scores of professors were significantly higher than assistant professors. In addition, the score of dental school staff was significantly higher than that of medical school staff. The comparison of the goodness of fit of models showed that the multilevel modeling provided a better fit to the longitudinal data. In the linear regression model, variables such as work experience and academic rank (professors in comparison to assistant professors and nursing school staff in comparison to pharmacology school staff) were falsely considered significant, due to the lack of consideration of the dependence of longitudinal observations of the evaluation and correction of standard errors.
Conclusion: The multilevel model, due to the consideration of the dependence of longitudinal observations of the evaluation, provides a better fit to data. Moreover, the incorrect use of the linear regression model, considering longitudinal observations to be independent, led to erroneous conclusions. The results of the present study, in terms of the goodness of fit of the models, showed a positive trend in scores of academic staff of Kerman University of Medical Sciences. In other words, the scores have improved over time.
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 ...
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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
