Mohsen Ayati; Sorya Roudi Aliabadi; Mohammad Ali Rostaminezhad
Abstract
Introduction Knowledge is changing and there are many changes in science and technology, so citizens must be updated and upgrade their knowledge and skills. Today lifelong learning is based on competence that has attracted the attention of the learning community. Students' lifelong learning competency ...
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Introduction Knowledge is changing and there are many changes in science and technology, so citizens must be updated and upgrade their knowledge and skills. Today lifelong learning is based on competence that has attracted the attention of the learning community. Students' lifelong learning competency is important. There are some scales such as attitudes to lifelong learning, lifelong learner characteristics, education lifelong learning and effective lifelong learning for this purpose. But in this context there isn't scale for measureing students lifelong competencies with rergard to digital competencies in Iran. The aim of this study was to examine the factor structure and reliability of Uzunboylu and Hursen (2011) lifelong learning competence scale. Method In terms of data collection quantitative study employing a descriptive-correlational research design were used in this study. The research population was all students in University of Birjand (12,000 students). The sample size is based on a valid general rule for factor analysis is 300 subjects. Accordingly, a sample of 300 students from University of Birjand were selected by multi-stage cluster sampling. In this way, from colleges of science, literature, agriculture, engineering, education-psychology and art three college of education and psychology, agriculture and art were selected. After administrating questionnaire data analyzed using SPSS and AMOS software. Results Exploratory factor analysis results identified six components for lifelong learning competencies that explained %49.46 variance of lifelong learning competency constructs. Confirmatory factor analysis Results Separated clearly of 42 items lifelong learning in the 6 Factor using the Appropriate fitness indicators. The findings of the model indicate that the fitness indices are desirable. the Chi-square ratio to degrees of freedom was1.72 which is small and indicating the fit of the model with the data, the comparative fit indicate (CFI), the Fit Fitness indicate (GEI), the Adapted Fitness indicate (AGFI) are 0.85, 0.96 and 0.92, respectively, which expresses the good fit of the model with data. The root mean square error (RMSEA) is also 0.051 which is also the appropriate fit condition for the model. In general, these fitness indices indicate a good fit of the model with research data. Cronbach's alpha coefficient of all items was 0/91 and for subscales self-management, learning how to learn, initiative and entrepreneurship, digital competence, acquiring information and decision-making was between 0/66 to 0/85. For correlation between total score and subscales Pearson correlation coefficient was used. The results showed of the correlation between the subscales of the Persian version and the scale of the whole scale in the range of 0.86 to 0.88. Thus, each of the six sub-scales has a high correlation with the total scale scores. Discussion the scale can be used to assess the competency of lifelong learning and ultimately to improve the quality of education in the digital society. As efforts to improve the quality of education are essential in higher education, and expected students to become independent and lifelong learners. As a result, it can be seen from these scale that the do teaching method at universities develop these competencies.
Educational Management
Behrooz Arbab Shirani; Ali Zeynal Hamadani; Seyed Hamidreza Shavaran
Abstract
Introduction Higher education provides the basis for the economic, social, cultural and scientific development of each country And one of the most important factors in the dynamics of the national economy. Therefore, planning to empowerment of higher education and How to transform higher education to ...
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Introduction Higher education provides the basis for the economic, social, cultural and scientific development of each country And one of the most important factors in the dynamics of the national economy. Therefore, planning to empowerment of higher education and How to transform higher education to meet and respond to the internal and external challenges of the university is one of the most important issues. strategic planning is one of the common methods of planning in higher education. It is used as a tool for managing decisions and activities that affect the long - term performance of a firm. Considering the importance of strategic planning in higher education, The purpose of this study was to improve the strategic planning process in determining the priorities of the governmental subsystem of higher education in Isfahan province, using the combined SWOT model and exploratory factor analysis. Method The research method was descriptive-survey and the statistical population was 130 faculty members of Isfahan University of Technology, University of Isfahan, Kashan University and Malek Ashtar Industrial Technology University, who participated in the process of compiling the Secretariat of Isfahan Higher Education Planning document (2015). The samples were selected, using the purposive sampling. The research instrument was a researcher-made questionnaire, whose costruct, face and content validity was confirmed in the second phase of the Secretariat of Isfahan Higher Education Planning document. The reliability of the questionnaire was estimated 0.70 through Cronbach's alpha coefficient. 45 faculty members completed the questionnaires and returned them. The data analysis was performed using the Bartlett test (KMO), exploratory factor analysis, Cronbach's Alpha Coefficient, Pearson correlation coefficient through SPSS-17 software. Results By using this mixed model, (by reducing the dimensions of SWOT matrix to about one tenth points and through making a statistical relationship between internal and external factors ), seven valid strategies were discovered and defined without inquiring all the grids of SWOT matrix which had less complexity compared to the AHP and ANP methods. These strategies met the objectives of this sub-system and, by defining a new indicator, made the prioritization task through the use of linear allocation technique. Discussion Although the analysis technique of the SWOT matrix regulates the extraction of strategies, but according to Bryson & Roering (1987), this matrix does not provide a specific offer for how to extract strategies when comparing internal and external factors. Therefore, the development of WT, ST, WO and SO strategies are highly qualitative and is highly dependent on the expertise and creativity of strategists.
s ghanbari; A Asgary; H sarmadiansar
Volume 21, Issue 1 , May 2014, , Pages 115-134
Abstract
The main purpose of this research was to analyze the factors affecting the primary school principals job motivation. A survey method was used. The statistical population (N= 1250) were included all administrative staff of Hamadan education organization. Using random sampling method, about 297 staff were ...
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The main purpose of this research was to analyze the factors affecting the primary school principals job motivation. A survey method was used. The statistical population (N= 1250) were included all administrative staff of Hamadan education organization. Using random sampling method, about 297 staff were selected as study sample. The data gathering instrument was researcher made questionnaire that were made based on the motivation theory, and its reliability using Cronbach’ alpha coefficient was computed equal to (0/92). The factor analysis showed that structural-managerial, recreational- possibilities, motivational- individual, attitude and mental factor play important role in creating job motivation among primary school principals, in addition findings showed that from different factors, the structural-managerial factor has the highest effect on principals job motivation. According to research findings, for increasing job motivation the planners needs to consider these factors and its priorities.
M salemi; H elhampor
Abstract
The aim of this research was to explore the main causes of Khuzestan's high school teachers' reluctance toward prepating and using lesson plans. A researcher-made question-naire consisting of 66 items with a Cronbach validity index of a= 0.97 was completed by 500 high school teachers. Factor analysis ...
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The aim of this research was to explore the main causes of Khuzestan's high school teachers' reluctance toward prepating and using lesson plans. A researcher-made question-naire consisting of 66 items with a Cronbach validity index of a= 0.97 was completed by 500 high school teachers. Factor analysis of the data reached its optimal item combination and factor structure after 10 experimental rotations. Analysis of the data via using orthogonal (verimax) totation and a minimum factor loading of 0.40 yielded5 factors. These 5 factors with eigenvalues of 19.77, 6.07, 3.55, 3.21 and 2.26 respectively accounted for 53% of the total variance of the questionnaire. These factors in the order of the amount of variancethey expain represent: 1) the cognitive and professional issues of the lesson plan, 2) issues related to management of educational planning and curriculum building; 3) attitudinal issues of the teachers; 4) socio-economic problems of the teachers; and 5) cultural problems of teachers and their low motivation. The number of items under the 5 factors were 19, 12, 14, 6, and 9, repctively Cronbach coefficients and split-half measures were used to check the validity of the extracted factors all of which proved to be significant at (p<0.001). Male teachers, teachers with higher years of service, and teachers with heavier weekly teaching loads had significantly and more emphasis on factors 1, 2, 4, and 5. Whereas, teachers who had never used lesson plans were infuenced by factor 3.
