درخت حوزه‌های تخصصی

Critical thinking in students' education is associated with the analysis of received information. Students provide the basis for the development of critical thinking in their future careers by cultivating this skill. This study is conducted to predict the relationship between learning style and critical thinking skills with the mediating role of distance education technologies in students of Payam Noor University. This is an applied study in terms of objectives and also a descriptive-correlational one since it describes the existing situation. The statistical population includes 253 distance learning students of Payam Noor University in Chaharmahal and Bakhtiari Province, of which 153 were selected as samples using the Cochran formula and simple random sampling. The population was asked to answer the Kolb Learning Style Inventory (12 questions), the California Critical Thinking Skills Test (CCTST) (24 questions), and the researcher-made distance education technology questionnaire (10 questions). Due to the standard questions of the questionnaires, it could be argued that they are highly valid. The reliability of the questionnaires was checked through Cronbach's alpha using SPSS software, and it was found that all three questionnaires were sufficiently reliable. The data were analyzed using SPSS, and structural equation modeling (SEM) was used to test the hypotheses using LISREL software. The results showed that the development of critical thinking skills to select, analyze, and apply information to solve problems in everyday life should be the focus of education and training systems in this era rather than inventing and applying methods of memorizing and processing information in memory.

This study investigates the crucial components propelling the integration of green technology and blockchain technology within electronic education (e-learning). Employing a mixed-methods research design, the inquiry blends quantitative and qualitative methodologies for comprehensive analysis. The qualitative phase draws upon the expertise of 125 purposefully sampled academic experts, subject-area specialists, and e-learning professionals through semi-structured interviews. Content analysis dissects these qualitative data, while structural equation modeling and factor analysis illuminate the quantitative dimension. The findings unveil five key components orchestrating green technology development in e-learning with blockchain integration: causal conditions, central phenomena, strategies, background conditions, and intervening conditions. Further analysis within each component identifies critical sub-components, informed by expert insights. Collectively, the study's predictor variables, encompassing both green technology development components and blockchain technology utilization, demonstrate a significant predictive influence (0.36, p < 0.01) on the mediator variable, green technology development. Additionally, they exhibit a nuanced yet statistically significant predictive effect (0.16, p > 0.05) on the criterion variable, e-learning and educational software performance enhancement. These positive and direct associations suggest a robust model for integrating blockchain technology to propel green technology advancements within e-learning. The proposed five-component model sheds light on the interplay between key factors, emphasizing the substantial impact of its application in guiding effective integration strategies.

This research aimed to determine the effectiveness of flipped classrooms in improving online learning self-efficacy and academic engagement among teacher trainees at Farhangian University. The study used a semi-experimental method with a pretest-posttest design and a control group. The statistical population consisted of all Farhangian University students during the 2023-2024 academic year. Using available sampling method, two groups of 36 teacher trainees were selected from the Shahid Modarres Campus of Farhangian University in Sanandaj. One group was randomly designated as the experimental group and the other as the control group. The experimental group participated in flipped classroom sessions, while the control group received traditional teaching methods. Data collection tools included the Online Learning Self-Efficacy Scale (OLSES) by Zimmerman & Kulikowich (2016) with a Cronbach’s alpha of 0.88, and the Academic Engagement Questionnaire by Fredricks et al. (2004) with a Cronbach’s alpha of 0.86. Both the face validity and content validity of the questionnaires were evaluated by a panel of experts and confirmed. The data were analyzed using SPSS (version 22), employing both descriptive and inferential statistical techniques, including multivariate and univariate analysis of covariance (ANCOVA), at a significance level of α=0.05. The results indicated significant differences between the experimental and control groups in terms of all three dimensions of Online Learning Self-Efficacy: online learning, time management, and technology use. Furthermore, the experimental group showed significantly higher levels of behavioral and motivational engagement compared to the control group, while no statistically significant difference was found in cognitive engagement between the two groups. It is thus recommended that sufficient opportunities and resources be provided for Farhangian University instructors to implement this approach effectively and maximize the use of modern technologies

This study investigates the immediate impact of reflective practices on the language assessment literacy of Iranian English as a Foreign Language (EFL) teachers. Combining quantitative assessment literacy measures with qualitative analysis of reflective practices, the research draws on the theoretical frameworks of Alderson, Fulcher, and Schön. Empirical insights from Akbari, Farrokhi, Shahnazari, and Karami and Rahimi provide a contextual backdrop within the Iranian EFL educational context. Using a mixed-methods design involving 50 EFL teachers, the study employs adapted assessment literacy measurement tools and reflective practices assessment tools. The results, analyzed through descriptive and inferential statistics, paired t-tests, and qualitative exploration, highlight improvements in specific areas such as choosing appropriate assessment methods and using results for decision-making. Implications point towards integrating reflective practices into professional development, while future research avenues include exploring long-term effects, contextual variations, and technology integration.Implications point towards integrating reflective practices into professional development, while future research avenues include exploring long-term effects, contextual variations, and technology integration.This study investigates the immediate impact of reflective practices on the language assessment literacy of Iranian English as a Foreign Language (EFL) teachers. Combining quantitative assessment literacy measures with qualitative analysis of reflective practices, the research draws on the theoretical frameworks of Alderson, Fulcher, and Schön. Empirical insights from Akbari, Farrokhi, Shahnazari, and Karami and Rahimi provide a contextual backdrop within the Iranian EFL educational context.