Sorayya Ruodi aliabadi; Mohammad akbary; Mohsen Ayati
Abstract
IntroductionThe world is constantly changing, and to keep up with these changes, one must be a lifelong learner and have a natural desire to learn in order to adapt to change and enrich skills. The aim of this study was to investigate the factors affecting lifelong learning. MethodsThe method of ...
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IntroductionThe world is constantly changing, and to keep up with these changes, one must be a lifelong learner and have a natural desire to learn in order to adapt to change and enrich skills. The aim of this study was to investigate the factors affecting lifelong learning. MethodsThe method of this study using the systematic review method. To achieve the purpose of the study, a regular and extensive review of the research background was conducted. For this purpose, databases of SID, Magiran, Noormags, Eric, Sage, Science Direct & scholar google were searched. After removing the articles disproportionate to the purpose of the research, a complete review was performed on the remaining 27 articles. ResultsFinally, it was revealed that of regular review of research background led to the extraction of 4 general factors. Findings showed that individual, educational, socio-cultural and family factors are involved in lifelong learning. Individual factor including personality factors and mental agency; The educational factor includes factors related to the teacher, factors related to teaching and curriculum, and factors related to educational tools and facilities; The socio-cultural factor also included community relations, integrated team-based learning, and culture structures, and family factors including the relationship between the family and the university and the parent-teacher association. According to the extracted articles, among the many factors involved in lifelong learning, the individual factor and the educational factor are the most abundant. The socio-cultural factor is also the third factor that has the most frequency. Family factors are next, which are effective in lifelong learning. The findings of this study can provide appropriate solutions for education authorities.Based on the results of this study, the effects of the individual, education, family, culture and society on lifelong learning awareness are reflected in the individual's motivation and learning goal, which directly affects the effectiveness of learning. As a result, there will be a guide to the general habit of lifelong learning. Therefore, lifelong learning policy, in addition to a high-level strategy, should create a positive conscious environment with sufficient learning materials and social conditions to stimulate self-learning initiative and strengthen self-directed learning motivations. The findings of this research can provide appropriate solutions to the guardians of education.
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.