Seyed fateme Zare sheykhkolaio; Mohamad Javadipour; Mohammadreza Keramati
Abstract
IntroductionDigital competence includes safe use of information technology, exchange of information and communication and participation through internet networks. Therefore, teachers' familiarity with competences leads to the use and exploitation of these skills as well as their acquisition and strengthening. MethodConsidering ...
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IntroductionDigital competence includes safe use of information technology, exchange of information and communication and participation through internet networks. Therefore, teachers' familiarity with competences leads to the use and exploitation of these skills as well as their acquisition and strengthening. MethodConsidering that the purpose of the current research is to review the digital competence of teachers in the post-corona era, the research approach is applied qualitative, phenomenological and descriptive method. For this purpose, by using semi-structured in-depth interview technique of perception and lived experience, 27 primary school teachers of Sari city, who were selected by purposeful sampling with maximum changes and criterion-oriented methods, were examined and analyzed. It should be noted that in order to validate the findings, the method of review by members and examination of two external experts was used to control the data. The data was analyzed based on the seven-step strategy of Collaizi. ResultsThe research findings in the interview section with primary school teachers showed that teachers' perceptions of digital competencies in the post-corona era include 20 themes (information and digital literacy, creating digital content, digital resources, technology and information skills, digital communication and collaboration, digital interaction, activity Digital team, digital collaboration, digital creativity and innovation, individual empowerment, power of inference, digital behavioral action, teaching and learning, classroom management, teaching methods based on digital conditions, digital evaluation, digital problem solving, data safety and protection, and digital environment. search, digital research and development, increasing knowledge) and 60 sub-themes. DiscussionAlthough Corona caused a big shock to the education system of the country, this shock caused significant growth in different dimensions and in many cases turned into an opportunity. School teachers who add the experience of Corona to their field of possibility, bring a new type of education, teaching, learning, assignment, evaluation, companionship and cooperation to the field in addition to the previous possibilities. Thus, in the post-corona era, new tasks have been assigned to teachers due to digital competences and technological skills, as a result, teachers must have the necessary digital competence and increase their professional credibility.
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.