Iranian Journal of Learning and Memory

Abstract This quasi-experimental study (pre-test/post-test with two experimental groups and a control group) compared the effectiveness of "Academic Resilience Training with an Integrated Monotheistic Approach" and "Mindfulness Training" on self-regulated learning among female secondary school students in Tehran's 10th district (academic year 1400-1401). Due to pandemic conditions, 21 students were selected via convenience sampling and divided into resilience training (n=7), mindfulness training (n=9), and control (n=5) groups. Both interventions were delivered online over eight 90-minute sessions. Data were collected using the Self-Regulation of Learning Questionnaire (MSLQ) and analyzed using ANCOVA and LSD post-hoc tests.
Results showed that both programs significantly increased overall self-regulated learning and metacognitive strategies compared to the control group( (F=3.681، p<0.047 ). However, after controlling for Grade Point Average (GPA), mindfulness training demonstrated significantly greater effectiveness in enhancing overall self-regulation, metacognitive strategies, and motivational beliefs. The integrated monotheistic resilience training showed no statistically significant effect on overall self-regulation or motivational beliefs after controlling for GPA. Neither intervention significantly affected cognitive strategies.
Conclusion: While both interventions show potential, mindfulness training exhibited stronger immediate effectiveness for promoting self-regulated learning components, particularly metacognition and motivation. However, the integrated monotheistic approach retains significant potential as a culturally indigenous intervention. Its emphasis on spirituality, values, and human connections may yield long-term benefits across various aspects of adolescent life, warranting further development of detailed protocols.

Abstract Objective: This study sought to examine the relationships between self-regulated learning, AI literacy, and entrepreneurial intention among Nigerian postgraduate students studying in Nigeria and Iran. Method: A cross-sectional survey design was employed, involving 530 postgraduate students selected from universities in both countries. Data were collected using Liñán and Chen's Entrepreneurial Intention Questionnaire (EIQ) (2009), Barnard et al.'s Online Self-regulated Learning Questionnaire (OSLQ) (2009), and Wang et al.'s (2023) Artificial Intelligence Literacy Scale (AILS). Data were analyzed using descriptive statistics, multivariate analysis of variance, and hierarchical multiple regression. Results: The findings revealed that both self-regulated learning and AI literacy significantly and positively predicted entrepreneurial intention, with self-regulated learning demonstrating the stronger unique contribution. In addition, Nigerian postgraduate students studying in Iran reported significantly higher levels of entrepreneurial intention, self-regulated learning, and AI literacy than those studying in Nigeria. These findings highlight the importance of learning-related competencies in fostering entrepreneurial intention and suggest that differences in educational contexts were associated with variations in entrepreneurial intention, self-regulated learning, and AI literacy. Conclusion: The study establishes self-regulated learning and AI literacy as key digital human capital drivers of entrepreneurial intention, with implications for context-sensitive curriculum design.

Abstract Objective: This study aimed to examine whether metacognition mediates the relationship between self-regulated learning strategies and problem-solving skills among upper-secondary students in Khorramabad. Self-regulated learning and problem-solving are recognized as essential for academic achievement, yet many students have not fully developed effective strategies in these areas.
Method: A descriptive-correlational design using structural equation modeling was employed. The sample consisted of 384 secondary school students selected through stratified random sampling. Data were collected using three standardized instruments: the Self-Regulated Learning Strategies Questionnaire, the Problem-Solving Inventory, and the Meta-Cognitions Questionnaire—Adolescent Version. Reliability and validity of the instruments were confirmed prior to analysis. The study tested the direct effect of self-regulated learning on metacognition and the mediating role of metacognition in problem-solving.
Results: The results indicated a significant direct effect of self-regulated learning strategies on metacognition (β = 0.357, t = 5.785) and a significant indirect effect on problem-solving through metacognition (β = 0.528, t = 13.855). The measurement and structural models demonstrated strong psychometric properties, with satisfactory factor loadings, composite reliability, and goodness-of-fit indices, confirming the stability and robustness of the observed relationships. Conclusions: Findings confirm that metacognition serves as a key mediator in transmitting the influence of self-regulated learning strategies to problem-solving performance. The results underscore the importance of developing educational programs that simultaneously enhance self-regulatory and metacognitive skills to improve students’ problem-solving abilities and academic outcomes. Limitations include the cross-sectional design, reliance on self-report measures, and the focus on one city, suggesting directions for future longitudinal and multi-context research.

Abstract Objective: This study aimed to investigate the relationship between self-directed learning (SDL) and problem solving, with a focus on the mediating role of self-regulated learning (SRL) and the moderating role of gender among Iraqi university students.
Method: A correlational research design was employed. The statistical population included all the students of Qadisiyah University in Iraq in the academic year 2023-2024. A sample of 300 students were selected using a convenience sampling method. Data were collected using the Problem-Solving Inventory (Cassidy & Long, 1996), The Self-Directed Learning Readiness Scale (Cheng, Kuo, Lin & Lee-Hsieh, 2010), and the Motivated Strategies for Learning Questionnaire (Pintrich & De Groot, 1990). Data was analyzed using Pearson correlation coefficient and Structural Equation Modeling (SEM) with SPSS and AMOS software.
Results: The results indicated a good model fit. SDL had a direct impact on problem solving. Additionally, SRL partially mediated the relationship between SDL and problem solving. However, gender did not significantly moderate the relationship between SRL and problem solving.
Conclusions: The findings suggest that increasing SDL and SRL among students can enhance their problem-solving skills.

Abstract Today, education experts mostly aim to detect significant causal variables leading to students’ achievements in educational settings. The present study aimed to investigate the relationship between executive functions and self-regulated academic learning regarding the mediating role of metacognition and working memory among university students. This research was a correlational study using structural equation modeling. The statistical population included of all students of Shahid Chamran University of Ahvaz in the academic year 2018-2019. A total of 351 students were selected by multi-stage cluster random sampling. The research instrument included the Metacognitions Questionnaire (MCQ-30), Cognitive Abilities Questionnaire, the Self-Regulation Questionnaire (SRQ), and the Test of Information Processing Skills (TIPS). The collected data were analyzed using structural equation modeling. The findings revealed no significant and direct relationship between executive functions and self-regulated academic learning (P>0.05). However, there was a significant and direct relationship between executive functions with metacognition and working memory (p <0.01). Moreover, a significant relationship was observed between metacognition and working memory with academic self-regulated academic learning (p <0.01). In this regard, metacognition and working memory fully mediated the relationship between executive functions and self-regulated academic learning. The study findings provide university students and experts with an appropriate model since, as the theoretical foundations of the proposed model documented, academic achievement and well-being are mainly dependent on executive functions. Accordingly, metacognitive skills, including self-regulated academic learning, can be improved by promoting the executive functions among university students.