درخت حوزه‌های تخصصی

Purpose: Descriptive evaluation, if successfully implemented can play an important role in promoting the academic success and performance of elementary students. As a result, the present study was conducted with the aim of presenting a model of effective factors on successful implementation of descriptive evaluation in the primary education system of Iran. Methodology : The present study in terms of purpose was quantitative applied and in terms of implementation method was descriptive from type of quantitative. The research population was the heads and deputies of public universities, faculty members and experts of the Educational Research and Planning Institute, professors of education, doctoral students of education and faculty members and experts of the Research, Evaluation, Validation and Quality Assurance Center of Education in the 2020 year. The research sample based on Krejcie and Morgan table was estimated 178 people who were selected by stratified random sampling method with respect to job position ratio. The research instrument was a researcher-made questionnaire of effective factors on successful implementation of descriptive evaluation in the primary education system of Iran (129 items) which its content validity was confirmed by experts and its construct validity was confirmed by exploratory factor analysis method and its reliability was obtained by Cronbach's alpha method for the whole 0.89 and for factors higher than 0.70. Data were analyzed by methods of exploratory factor analysis and structural equation modeling in SPSS and Smart PLS software. Findings : Findings showed that the effective factors on successful implementation of descriptive evaluation in the primary education system of Iran have ten factors and two dimensions of manpower (including four factors of teachers' ability, motivational factors, structural factors and factors related to students) and curriculum (including six factors of multidimensional curriculum, fit of curriculum with facilities, fit of curriculum with needs of individual and community, content of curriculum, flexibility of curriculum and students' satisfaction from curriculum). Other findings showed that the model of effective factors on successful implementation of descriptive evaluation in the primary education system of Iran had a good fit and both manpower and curriculum had a direct and significant effect on it (P<0.05). Conclusion : According to the model of the present study, for the successful implementation of descriptive evaluation in the primary education system of Iran, it is possible to improve the situation through the dimensions of manpower and curriculum and related factors.

Purpose: The purpose of the present study was to provide a model of happiness for students of primary schools in Tehran. Methodology: In terms of the basic purpose, the present study was exploratory mixed (qualitative-quantitative) in terms of the nature and type of study. The statistical population of the current study included all specialists in the field of happiness, such as psychologists and sociologists, educational sciences, and quantitatively, all managers, educational assistants, and sports teachers in Tehran, which included (220 men and 280 women). Therefore, in the qualitative dimension, the sample size of the research was 16 experts in this field, and in the quantitative dimension, 334 people (144 men, 190 women) were selected using the cluster random sampling method. The measurement tool of the current research is a semi-structured interview form in the qualitative dimension, which was developed using open coding and axial coding. The formation of the said form was finalized with the help of interviews and Delphi technique from experts through selective coding. The validity and validity of this matter was confirmed with the help of experts. The research tool in the quantitative dimension was a 121-question questionnaire, which was compiled by transforming the saturated interview form by experts and by giving weight to the indicators. The reliability of the questionnaire was calculated through Cronbach's alpha and was equal to 0.958. Its validity was obtained with the help of content and confirmatory validity, which was relatively high. The research data were analyzed through the coding process based on the systematic design of the theory derived from the data of Strauss, Corbin (1998). Findings: The method of data analysis in the qualitative dimension including the open coding method, axial coding was done, and after the theoretical saturation of the experts, the model of happiness based on 3 dimensions, 11 components and 121 indicators was finalized. In the quantitative dimension, it was confirmed with the help of factor analysis test, which consisted of 3 dimensions, 11 components and the final model of the happiness pattern was confirmed. Conclusion: Based on the findings, the final model of the dimensions of the happiness model includes, in order, family (parental relations, education, economy), school (teacher, principal, classmates, employees) and environment (culture governing the society, security, rules and regulations, media ha) is.

Purpose: This study uses TAM theory to better understand variables that are indicative of MOOCs’ courses’ completion rates; furthermore, this paper scrutinizes the quantitative relationship between MOOC platform usage and learning satisfaction. Methodology: This was an applied research in a virtual community called Coursera where people all over the world participate. The research design was quantitative and the questionnaire link was posted on the Coursera, with convenience sampling. Data collection process started from November 12, 2020 until February 23, 2021, and 234 users of the selected MOOC platform (Coursera) participated to evaluate the proposed model. A multivariable systematic technique (PLS) was applied to analyze the model. To conduct the reliability test, individual item loadings and internal consistency were consulted. Convergent validity of the model was measured via the Structural Equation Model (SEM). The examination of the SEM was incorporated an evaluation of the path coefficients and R2 values. Findings: The loadings of all measurement items are larger than 0.792, indicating sound internal reliability of the dataset. Moreover, the Cronbach's alpha values are all > 0.7 which proves the internal consistency of the research model. In this research, the range of CR is 0.838 to 0.947 and the range of AVEs 0.634–0.857, both exceeding the threshold values for desirable convergent validity. To obtain discriminant validity, the square root of AVE should be larger than the correlation among the constructs. The value of each AVE’s square root is greater than the off-diagonal components. The model explains 21.1% of the variance in perceived usefulness, 20.9% in perceived ease of use, 26.9% in attitude to use, 20.0% in MOOC platform actual usage and 24.2% of the variance in learning satisfaction. The path coefficient from quantity and quality of knowledge (β=0.261, p<0.01) and perceived feedback (β=0.215, p<0.01) to PU are positive. The results show that perceived feedback (β=0.275, p<0.01), perceived complexity (β=-0.367, p<0.01) significantly and meaningfully affect PEOU. The PU showed a positive and strong effect on attitude to use (β=0.271, p<0.01), MOOC platform actual usage (β=0.360, p<0.01), and learning satisfaction (β=0.277, p<0.01). Conclusion: The results indicated that the quantity and quality of the knowledge and perceived feedback have a positive and significant impact on the perceived usefulness of MOOCs. The perceived complexity as a negative construct was found to be an important indicator of MOOC platforms usage.