درخت حوزه‌های تخصصی

The Iranian Distance Education Journal (IDEJ) is one of the most critical journals in electronic education that publishes articles in the field of distance education. This research aims to review and analyze the content and citations of IDEJ articles. The research method, content analysis, and citation were done using Excel and SPSS software. The research findings showed that 81 articles were published in 10 issues of this quarterly magazine, from number 1 of volume A to number 2 of volume 4. Findings show that 83 percent were written in groups, the rest were written individually, 54% were university faculty members, and Payam Noor University had the most significant number of authors. Quantitative methods were used more with 66%, the keyword "e-learning" with 14 repetitions had the most extensive range of articles, and three professors from Payam Noor University had the most significant articles. Also, some authors were from Brazil, Nigeria, and Alaska, and women are as active as men. Suggestions were also made to correct the deficiencies and develop the magazine.

E-learning has been extensively integrated into the educational system during the COVID-19 pandemic, aiming to enhance the quality of education. While introducing numerous benefits and positive impacts, this rapid transition has also posed new challenges that could potentially increase anxiety among elementary school teachers. Therefore, this study aimed to examine the relationship between web-based teaching components during the COVID-19 pandemic and anxiety levels among elementary school teachers, providing practical operational solutions. This research is applied in terms of purpose and correlational in terms of methodology. The statistical population of the study included all elementary school teachers in the city of Amol, totaling 750 individuals. A sample of 256 teachers was randomly selected from the city of Amol. Data were collected using the Salmi Anxiety Questionnaire, Abedini Chogordani, Ghasemi Nafchi, and Tabashir (2021), and a researcher-made questionnaire to measure web-based teaching components. The validity of the questionnaires was confirmed through face validity, and Cronbach's alpha coefficient was employed to determine the reliability of the research instrument. Data analysis was conducted using Pearson correlation coefficient and multiple regression analysis. The findings indicated that the contributions of web-based teaching components, including support and virtual learning infrastructure (169.0), learning and technological complexity (141.0), electronic content production (267.0), and type of course instruction (203.0), were significant predictors of teachers' anxiety during the COVID-19 pandemic. However, the contribution of the effective assessment component (107.0) was not statistically significant. Virtual education infrastructure, learning technological skills, acquiring content production skills, type of course instruction, were negative predictors of teachers' anxiety during the pandemic. The results of the study revealed a significant negative relationship between some web-based teaching components and anxiety levels. Therefore, it is recommended to reduce teaching anxiety in web-based education by implementing empowerment courses to develop online teaching skills, producing effective content, and fostering technological development in in-service teacher training.