محمد عظیمی

The purpose of the research is to investigate the seriousness of primary school students doing their homework during the CoVid-19 Pandemic and to identify challenges and solutions to overcome the problems using the lived experiences of teachers, parents and professionals. Qualitative and phenomenological methods were used in this research. The interviewees of the research included all teachers, parents and specialists of Ardabil city in the academic year of 2022-2023. To select the participants, targeted and saturation sampling was used and 23 teachers, 25 parents and 14 specialists were selected. Data were collected using interviews with open and semi-structured questions. Validity and reliability of interviews were determined through triangulation technique, member control technique, parallel accurate information acquisition technique and researchers' self-review. The findings showed that during the CoVid-19 Pandemic, teachers used assignments that had most of the main characteristics of an ideal assignment. And in order to make it more interesting, enjoyable and to do the homework in a creative way, they implemented various methods and of course they also faced many problems which solutions were presented to overcome them. Parents also expressed their lived experiences about the seriousness of their children in doing their homework and presented solutions to solve the challenges. Next, in connection with the challenges mentioned by teachers and parents, experts were interviewed, and in order to overcome them, the experts presented different solutions and in four categories of solutions; Solutions for teachers, solutions for parents, solutions for education professionals, and solutions for students were categorized.

The purpose of study is Identifying the factors affecting the establishment of "quality culture" and effective factors in the quality of virtual education of Farhangian University.The research method was a two-stage combined exploratory exploration. In the qualitative section, using a semi-structured interview technique, 23 academic and thematic experts were interviewed in a purposeful manner from educational and research centers and the research method in the qualitative part is foundational data theorizing, which seeks to create a theory, model and pattern (Sharmaz, 2007: 462),. A descriptive-survey method has been used in the quantitative part. To analyze the data in order to evaluate the fit of the proposed model from confirmatory factor analysis and structural equation modeling technique by using Smart PLS software. In the quantitative part of research, the initial structure of questionnaire which was compiled with 136 items, in the initial study among five quality monitoring and evaluation experts at Farhangian University. The information obtained from the examination the indicators of each of dimensions and indicators of the quality culture using the criteria of the absolute magnitude of the factor loadings, T-statistics and R2, it should be said that all the items have a suitable factor loading (above 0.7) on the related variable. And these factor loadings were significant at 0.05 and 0.01 levels. In other words, the value of t associated with each factor load is greater than its critical value (1.96) at the 0.05 level and (2.58) at the 0.01 level. Then, in the quantitative section, 389 faculty members and non-faculty members were selected by multi-stage cluster sampling and answered the questionnaires. Findings from first and second confirmatory factor analysis showed that culture quality of factors; "Structural / managerial elements"(0.388), "Cultural/ psychological elements" (0.248), "Leadership" (0.500), "Communication" (0.584), "Trust"(0.457), "Commitment"(0.150) and responsibility"(0.528),"Participation"(0.176), "Empowerment"(0.312), "Infrastructure reform"(0.161), "Results of quality culture"(0.458) has been formed and its native model has a suitable structural validity for establishment in Farhangian University. As a result, it can be said that the structural model under study is of good quality and the observed values are well reconstructed and the model has a good predictive ability.