نشریه مطالعات برنامه ریزی آموزشی
پیاپی 16 (پاییز و زمستان 1398)

This paper aims to analyze the policies and mechanisms of the Technical and Vocational University as well as to analyze the quality of educational programs, to identify the challenges ahead and to suggest strategies for quality improvement and the university's educational and research performance. As a multi-qualitative research, the study was based on document analysis and phenomenology. Participants included 12 academic executives and relevant employers in technical fields who were purposefully selected and interviewed. Qualitative content analysis method with emphasis on the main components was also used to analyze the findings. The findings showed that although the university in its policies and mechanisms works in line with the traditions of entrepreneurial universities, but in practice suffers from a set of contextual, environmental, structural and content challenges, that failing to address them not only overshadows the effectiveness and efficiency of the university, but also runs counter to its existential philosophy and strategic vision.

This study aimed at analyzing factors affecting educational status volunteers Entrance examination (humanities, technical and fundamental) at different levelsusing Shannon Entropy technique. The study was functional-qualitaive (case study). Interviews and documents used to determine the effective indicators in the evaluation of educational status volunteers and to prioritize them. The content analysis was used to analyze the data. Using purposive sampling, 10 experts were selected for interview. Using the available sampling were examined 43 documents. Family, social, cultural, personal, psychological, economic and educational factors were identified asfactors affecting the educational status volunteers andindicators were considered forthesefactors.To prioritize results determined from the individual factor gender criteria, from the family factor the level of education of family members criteria, from the economic factors the economic situation criteria, from the psychological factor achievement motivation, self-efficacy and mental health criteria, from the socio-cultural factor location (home, dormitory) Criteria, from the educational factor grade point average criteria, allocated highest priority. There are some criteria and factors that can influence the volunteers' educational status more than other factors. It is necessary to improve them according to each degree and field of study.

Benefiting community members from an acceptable level of educational facilities and services constitutes the core of any community's development.Establishing a balance between the quantity and quality of educational indicators based on the needs of the people living in that society, while ensuring equity in access to educational services and the development of knowledge and science at the community level, will result in the economic allocation of educational facilities and services to different regions.This descriptive-analytic correlational study seeks to investigate the spatial inequality of educational indices and the factors affecting the distribution of these indices in the provinces of Iran. Thirty-one provinces were studied and the data were taken from Iran’s statistics center. The findings of the study showed that there is inequality between provinces in terms of educational indicators. Quite contrary to expectations, the three provinces of Ilam, Kohgiluyeh and Boyer Ahmad, and North Khorasan with coefficients of 0.632, 0.598 and 0.885, respectively ranked first to third, and Qom, Tehran and Alborz with the coefficients of 0.224, 0.250 and 0.225, respectively were in the lowest ranks. The results of correlation coefficient showed that the variables of urbanization rate, ruralization rate, percentage of population of each province out of total population of the country and migration into provinces have a significant relationship with the country's provinces in terms benefitting from educational indicators whose amounts respectively are -0.552, -0.520, -0.533 and -0.494. The results of the fitted model of multivariate regression also showed that the two variables of the percentages of each province's population out of the country’s total population and the percentage of urbanization with the Betas of -.0393 and -.0375 predict 40.5% of the variance of benefitting of the provinces from the educational indices. The results show that the concentration of population, especially urban population in provinces such as Qom, Tehran, Alborz, Isfahan and the increasing number of people migrating to these provinces, reduces the per capita of educational infrastructures and staff, thereby decreasing per capita. In order to establish spatial justice in the provinces of the country, considering the demographic variables and the percentage of urbanization are the requirements for sustainable development of educational indicators in the country

Study was to investigate Educational index status In the region of Orumanat is Kermanshah province. In terms of applied purpose And kind of descriptive-analytical. The statistical population of this study is 14 provinces of Kermanshah province with emphasis on Uramanat area. In order to answer the research questions, 25 variables of educational sector were used That  Required information in this context The Kermanshah Province Statistical Yearbook of 1395 was taken. Shannon entropy technique to determine the coefficient of importance of the indices Use the ARAS model to measure the amount Cities of Kermanshah Province And SPSS software (Pearson Correlation Test) To investigate the relationship between urbanization rate and city development, it has been used. The results show The developmental index of educational index in the cities of Kermanshah province is (1) to (0.6720) So that the city of Harsin (1) is the only developed city and only )14.7% ( And thirteen other cities, Paveh, Ghasre shirin, Ravansar, Islamabad Gharb, Gilan Gharb, Kangavar, Kermanshah, Dalahoo, Sarpol zahab, Javanrood, sahneh, Songhor and finally Thalatha Babajani city with (0.6720) Respectively in the second to fourteenth and developing countries (92.86%) Are Semi-developed. The development status of the Ouramanat counties is in the face The city of Paveh with (0.7967)  rank second, Ravansar city with (0.7355), fourth rank, Javanrood city (0.7126) eleventh rank and the city of Thalatha Babajani with (0.6720) Fourteenth rank, There is no significant correlation between urbanization rate and educational development index. Educational Planning should be a deprived city In the first priority of educational development And other cities are in the Next priority.

The purpose of this study was to investigate the mediator role of cyber loafing in the relationship between supervisor's supervision quality and academic procrastination of Ph.D. students. The research method was descriptive and correlational method. The sample consisted of 201 Ph.D. students from Shiraz University who were selected by random sampling method. The research tools include the supervisor's supervision quality (Herman et al., 2014), cyber loafing (Inside, 2011), and academic procrastination (McCully, 2011) that after calculating their validity and reliability, they were distributed among the samples and the data were analyzed using structural equation model. The findings showed that the supervisor's supervision quality has a significant and negative effect on the student's cyber loafing behavior, and the behavior of cyber loafing has a positive and significant effect on increasing the students' procrastination at the completion of the doctoral dissertation, and the supervisor's supervision quality has a negative, but non-significant effect on students procrastination in complete a thesis.

Using the grounded theory-type qualitative approach, this study aims to investigate the challenges of Iran's higher education system according to the world ranking standards and suggest some new strategies to the country’s higher education policymakers and planners. Participants included 16 experts and senior officials from the Institute for Higher Education Research and Planning, University of Tehran, Eco Insurance Higher Education Institute, Alameh Tabatabae University and Technical and Vocational University whom were selected via snowball sampling method. Semi-structured interviews were applied to collect data based on theoretical saturation which were lasting between 30 and 60 minutes. For data validation both participants review (member check) and review by external experts (external check) were applied. Data was analyzed using open, axial, and selective coding. The findings showed that the following challenges have resulted in the poor position of the country's universities comparing with world ranking indicators: economic, sociocultural, policy-making, university management, infrastructural, educational, and research. Accordingly, layering, increasing operational efficiency and efficacy, policy changes, and transition from growth to development and reinforcement of international communications were the strategies proposed for improving the ranking of Iranian universities in the above ranking system.

In recent years, higher education in Iran has faced a variety of problems, such as university extra seats, unemployment of graduates, and so on, which cause critical challenges to educational planners and policy makers. Examining main determinants of the applicants’ choice is an important remedy to thses challenges that can be done through developing an appropriate university-discipline choice model. Results derived from such a model, can help educational planners to rectify the challenges and also improve the quality of the applicants’ choices. In other words, understanding the university choice models of applicants helps to understand university choice behavior in Iran and to improve the quality of their university choice, higher education policies, and the decisions of university administrators. In this article, the model of university choice and its determinants in terms of gender, occupation, and residence are designed and estimated using data on the characteristics of a randomly selected sample of participants in the 1397 entrance exam of Electrical Engineering master degrees. The data included information on the field chosen by participants who were allowed to choose the study field and select at least one university-location course. The results of the analyses emplying Rank-ordered logistic model, show a high tendency of the applicants to attend the state universities located in Tehran city and the capitals of Iran’s provinces. Women tend to prefer Tehran more than men and unemployed tend to be significantly more exposed to the daily courses of Tehran city universities.

The present paper is designed to identify and present a model of human resource development strategies in the era of the Fourth Industrial Revolution in chemical companies based in Ahwaz industrial towns. This study was conducted using a mixed research method and triangular data collection method, namely, corporate documents analysis, questionnaire and semi-open interview. The quantitative part was extracted using two questionnaires: "Entrepreneurial Innovation" and "Teaching and Organizational Learning (Training)" and in the qualitative part the human resource development paradigm paradigm data was extracted in chemical companies. The results showed that the average of entrepreneurial innovation was 3 out of 5 and the mean of organizational learning teaching (education) was 3 out of 5. Also, causal factors, contextual conditions, confounding conditions, human resource development strategies and consequences of teaching and learning (organizational) strategies in the chemical companies were identified.

The purpose of this research is to study the concept, dimensions and instances of academic citizenship in Iranian higher education system. The research has used qualitative strategy and it has been done with interpretive phenomenological method.The research participants included 34professors and students (different sections) in the universities of Tehran, Allameh Tabatabai, Kurdistan, and Bu Ali Sina University, who were targeted (in a varietyof disciplines and specialties, as well as Different levels of education were selected in that sample).And the data collection process continued until theoretical saturation and data were collected using semi-structured interview tools. Data validation has been done using the triangulation method. The data were analyzed by thematic analysis using MAXQDA qualitative analysis software.The results of the study consisted of five descriptive categories: Academic Citizenship Skills (Social-behavioral; Scientific-Technical and Political-Participatory), Academic Citizenship Concept (Graduate Citizen; Scientist Citizen; Multicultural Academic Citizenship; Academic Citizenship as a Political category; Legal-rightful citizenship; Cultural citizenship and Academic citizenship based on supply and demand mechanisms), Dimensions and components of academic citizenship (Academic freedom; Professional and academic ethics; Implementation of active university role; Right to social participation and leadership; Transfer of scientific identity ), academic citizenship education (single value education And education based on value neutrality) and aspects of academic citizenship (maintaining and promoting citizenship-generating capital; academic citizenship rights and academic citizenship responsibilities(.

Due to the importance of information literacy among university students, this research was conducted with the goal of constructing a valid and reliable scale to assess information literacy in undergraduate psychology students. For this purpose, based on the opinion of educational psychologists who had sufficient experience and knowledge, an initial scale with 35 items was prepared. The statistical population of the study included graduate students of Tehran universities in the field of psychology. From the statistical population, 286 people were selected as participants in the study using cluster random sampling method and responded to the scale. By using SPSS software data was analyzed by exploratory and confirmatory factor analysis, correlation coefficient and independent T test. The results of factor analysis indicated after omitting 11items, five factors were displayed which entitled: 1) methodology, 2) conclusion and explanation, 3) information search, 4) statistical knowledge and 5) research knowledge base. Reliability coefficient for total scale’s score was 0.88 and for five aforementioned factors were 0.83, 0.84, 0.71, 0.82, and 0.59 respectively. Results indicated this measure has psychometric goodness of fit and could be used in other research.