خودتنظیمی

Emotional self-regulation is an aspect of interest in mathematics learning given the emotional experiences associated with difficulties and errors; therefore, the study aimed to understand educational professionals’ perceptions of this phenomenon. The research was conducted using a qualitative approach, within the interpretive paradigm, and employing a descriptive-interpretive design. It involved a mathematics teacher, a psychologist, and an educational psychologist, who participated in asynchronous, semi-structured interviews. The data were analyzed through coding and triangulation of sources. The findings showed that the professionals attribute significance to emotional experiences in the face of mathematical difficulties and recognize resources related to academic coping and self-confidence, in addition to situating emotional support, guidance, feedback, and the learning environment within these experiences. These results align with previous studies that acknowledge emotional and pedagogical components related to mathematics learning, although the present study interprets them from the perspective of professional perceptions. It is concluded that participants understand emotional self-regulation as a process related to managing emotional responses to mathematical challenges, situated within a context of personal, academic, and pedagogical support resources.

Purpose: This study aimed to examine the relationships between teacher leadership components and students’ academic responsibility and academic self-regulation, with particular emphasis on the mediating role of self-directed learning among lower-secondary school students. Methods and Materials: This descriptive-correlational study was conducted among lower-secondary school students in Salah al-Din Governorate, Iraq, and their teachers during the 2025 academic year. Using multistage cluster sampling, 400 students and 400 of their teachers were selected. Data were collected using the Hoveyda et al. Teacher Leadership Scale, Lewis Student Responsibility Questionnaire, Zimmerman and Pons Self-Regulation Scale, and Fisher and King Self-Directed Learning Questionnaire. The hypothesized relationships among the study variables were analyzed using partial least squares structural equation modeling (PLS-SEM), which enabled simultaneous assessment of the direct and indirect effects specified in the proposed conceptual model. Findings: The inferential results demonstrated significant relationships between teacher leadership and self-directed learning, academic responsibility, and academic self-regulation. Self-directed learning was also significantly related to both academic responsibility and academic self-regulation. Furthermore, the structural model supported significant indirect effects of teacher leadership on academic responsibility and academic self-regulation through self-directed learning, confirming the mediating role of self-directed learning in the proposed relationships. Thus, stronger teacher leadership was associated with enhanced student responsibility and self-regulatory functioning both directly and through the development of self-directed learning. Conclusion: The findings indicate that teacher leadership represents an important educational factor associated with students’ academic responsibility and self-regulation, while self-directed learning serves as a meaningful mechanism through which these relationships operate. Strengthening teacher leadership competencies and simultaneously developing students’ self-directed learning skills may therefore provide an effective educational pathway for promoting greater responsibility, autonomous learning, and academic self-regulation among lower-secondary school students, with potential benefits for their broader academic and psychoeducational outcomes.

هدف: این پژوهش با هدف بررسی روابط بین مؤلفه‌های رهبری معلم و مسئولیت‌پذیری تحصیلی و خودتنظیمی تحصیلی دانش‌آموزان، با تأکید ویژه بر نقش میانجی یادگیری خودراهبر در میان دانش‌آموزان دوره متوسطه اول انجام شد. روش‌ها و مواد: این مطالعه توصیفی-همبستگی در میان دانش‌آموزان دوره متوسطه اول استان صلاح‌الدین عراق و معلمان آن‌ها در سال تحصیلی ۲۰۲۵ اجرا گردید. با استفاده از نمونه‌گیری خوشه‌ای چندمرحله‌ای، ۴۰۰ دانش‌آموز و ۴۰۰ معلم آن‌ها انتخاب شدند. داده‌ها با استفاده از مقیاس رهبری معلم Hoveyda و همکاران، پرسشنامه مسئولیت‌پذیری دانش‌آموز Lewis، مقیاس خودتنظیمی Zimmerman و Pons و پرسشنامه یادگیری خودراهبر Fisher و King گردآوری شد. روابط فرضی میان متغیرهای پژوهش با استفاده از مدل‌یابی معادلات ساختاری حداقل مربعات جزئی (PLS-SEM) تحلیل شد که امکان ارزیابی همزمان اثرات مستقیم و غیرمستقیم مشخص‌شده در مدل مفهومی پیشنهادی را فراهم ساخت. یافته‌ها: نتایج استنباطی نشان داد که بین رهبری معلم و یادگیری خودراهبر، مسئولیت‌پذیری تحصیلی و خودتنظیمی تحصیلی روابط معناداری وجود دارد. همچنین یادگیری خودراهبر با هر دو متغیر مسئولیت‌پذیری تحصیلی و خودتنظیمی تحصیلی رابطه معناداری داشت. افزون بر این، مدل ساختاری اثرات غیرمستقیم معنادار رهبری معلم بر مسئولیت‌پذیری تحصیلی و خودتنظیمی تحصیلی از طریق یادگیری خودراهبر را تأیید کرد و نقش میانجی یادگیری خودراهبر را در روابط پیشنهادی اثبات نمود. بنابراین، رهبری قوی‌تر معلم با افزایش مسئولیت‌پذیری دانش‌آموزان و عملکرد خودتنظیمی آن‌ها، هم به طور مستقیم و هم از طریق توسعه یادگیری خودراهبر، همراه بود. نتیجه‌گیری: یافته‌ها نشان می‌دهد که رهبری معلم یک عامل آموزشی مهم مرتبط با مسئولیت‌پذیری تحصیلی و خودتنظیمی دانش‌آموزان است و یادگیری خودراهبر به عنوان سازوکاری معنادار عمل می‌کند که این روابط از طریق آن برقرار می‌شود. تقویت شایستگی‌های رهبری معلم و توسعه همزمان مهارت‌های یادگیری خودراهبر دانش‌آموزان می‌تواند مسیر آموزشی مؤثری برای ارتقای مسئولیت‌پذیری، یادگیری خودگردان و خودتنظیمی تحصیلی در میان دانش‌آموزان دوره متوسطه اول فراهم آورد و منافع بالقوه‌ای برای پیامدهای تحصیلی و روان‌آموزشی گسترده‌تر آنان به همراه داشته باشد.

Academic writing development in open and distance learning (ODL) environments remains challenging because students must independently regulate complex writing processes while receiving limited opportunities for continuous interaction and feedback. Existing digital learning platforms often emphasize assignment submission rather than supporting writing development as an iterative process involving planning, feedback utilization, reflection, and revision. This study aimed to develop and evaluate SIM-Aril as an online portfolio-based self-regulated feedback platform for supporting academic writing development in an ODL context. This study employed a Research and Development (R&D) design involving needs analysis, platform development, validation, implementation, and evaluation. Data were collected from 122 students and 38 tutors through self-regulated writing questionnaires, tutor competency questionnaires, expert evaluation, and qualitative responses. Quantitative data were analyzed using descriptive statistics, reliability analysis, correlation analysis, regression analysis, and exploratory factor analysis, while qualitative data were analyzed thematically. The findings demonstrate that SIM-Aril supported academic writing development through the integration of digital portfolio assessment, tutor scaffolding, and student self-regulated writing processes. Students demonstrated strong engagement in revision, feedback utilization, metacognitive monitoring, and other writing regulation activities. Tutor evaluation indicated that academic writing supervision represented an important component supporting SIM-Aril implementation. The integrated findings show that SIM-Aril functions not merely as a digital submission platform but as a self-regulated feedback ecosystem that connects learner autonomy, instructional support, and formative feedback. This study contributes theoretically by extending digital assessment research through a model that integrates individual self-regulation, socially shared regulation, and feedback literacy within technology-supported academic writing environments. Practically, the findings suggest that effective digital assessment in ODL should be designed to support learning processes rather than only evaluate final outcomes.

Geometry problem-solving requires learners to coordinate conceptual knowledge, spatial representation, strategy use and the regulation of cognition, motivation and effort. This systematic review examined how self-regulated learning (SRL) operates in geometry problem-solving and which learner, task, social, instructional and developmental conditions shape it. A Scopus search reported according to PRISMA 2020 identified 1,298 records; database limits left 529, and eligibility screening retained 32 empirical studies published from 2021 to 2026. Twelve studies involved undergraduates or pre-service teachers, seven involved school pupils, one involved kindergarten children and 12 did not state the educational level in the extracted records. Study quality was appraised with the Mixed Methods Appraisal Tool, and thematic synthesis identified four themes: planning and strategic regulation; monitoring, control and strategy adaptation; learner characteristics and outcomes; and instructional scaffolding and technology. Successful performance was associated with problem representation, strategy selection, monitoring, error detection, adaptation and evaluation. Diagnostic and elaborated feedback, content-focused peer feedback and supportive scaffolding were more informative than the presence of technology. Evidence on learner characteristics was mainly correlational, and evidence on young learners was thin. The review proposes a Process-Oriented Framework of Self-Regulated Geometry Problem-Solving that links input conditions, forethought, performance regulation, reflection, and outcomes and it is best supported for adolescent and adult learners. Future research should combine self-report with behavioural, longitudinal and process-tracing evidence and develop age-appropriate SRL measures for young children.

Generative AI, and more precisely large language models, have nowadays rapidly become useful in education, professional work, and everyday tasks. While these systems offer notable benefits to make work efficient and improved accessibility, the recent evidence suggests that their usage has cognitive costs. This paper presents a structured review of 16 reviewed studies investigating the impact of Gen AI usage on cognitive offloading, metacognitive engagement, automation bias, and human skill. By studying experimental, survey-based, qualitative, and theoretical research, this review synthesizes several findings across several fields to identify recurring mechanisms through which GenAI usage reshapes cognition. Our analysis reveals a consistent pattern, where GenAI often improves short-term task performance, but it frequently minimizes effortful cognitive processing, diminishes self-regulation, and changes skill developments. Rather than constant de-skilling, this paper points out reconfiguration of skills, favoring efficiency-oriented competencies such as prompting and verification over generative reasoning and critical reflection. Our study further highlights these outcomes are not unavoidable but are strongly mediated by interaction design, educational practices, and socio-technical environments. By showing these effects as the “cost of convenience,” this paper contributes an integrative perspective on the cognitive effects of Gen AI and highlighting the ways to make AI design, education, and governance cognitively sustainable.

Background Insomnia and poor sleep are highly prevalent among university students and are linked to impaired mental and physical health, reduced cognitive functioning, and lower academic performance. Existing interventions for insomnia include cognitive behavioural therapy for insomnia (CBT-I), mindfulness, and sleep hygiene. CBT-I is widely recognised as effective but remains difficult to access for the general population and lack scalability, long-term follow-up, and feasibility in non-clinical settings. Pragmatic, group-based approaches that can be delivered within the university and are tailored to help students develop self-endorsed routines and competencies for better sleep, creating sustainable changes that extend beyond the program period, is needed. Methods This study is a pragmatic, two-arm randomised controlled trial evaluating the effectiveness of a group-based sleep program for university students with insomnia symptoms. A total of 118 full-time students aged 18–30 meeting diagnostic criteria for chronic insomnia disorder will be randomized (1:1) to either the intervention or a wait-list control group. The intervention comprises 12 weekly 90-minute group sessions followed by nine monthly follow-up meetings, facilitated by trained coaches. The program integrates core elements of CBT-I with motivational and coping strategies, delivered in an interactive and peer-supported format. The primary outcome is change in insomnia severity measured by the Bergen Insomnia Scale. Secondary outcomes include subjective and objective sleep measures, mental health, cognitive performance, academic attainment, health behaviours, physical fitness, and biological markers. Assessments will be conducted at baseline, post-program (12 weeks), and 12 months. A mixed methods process evaluation will assess fidelity, acceptability, mechanisms of impact, and contextual influences. Discussion This trial will be among the first pragmatic evaluations of a structured, group-based sleep intervention tailored to university students with insomnia. Key strengths include the randomised controlled design, comprehensive outcome assessment, 12-month follow-up, and embedded process evaluation. If effective, the program could provide a feasible, scalable, and cost-effective model to improve sleep and therein health, and academic performance in young adults in higher education.

The rapid growth of social media has transformed communication and information sharing; however, excessive use can promote procrastination and avoidance of academic tasks, contributing to increased test anxiety among students. This study explores how social media use and procrastination contribute to test anxiety among the said population. A cross-sectional design was employed with sample of 284 university students (M = 110, F = 160) with a mean X age=20.8 years selected through convenience. Social media was measured through Social Media Use Questionnaire (Xanidis and Brignell, 2016), procrastination was assessed using the Lay Procrastination Scale (Lay, 1986) and test anxiety was evaluated by Westside Test Anxiety Scale (Driscoll, 2004). Data was analyzed using correlation and regression analysis. The results revealed significant positive correlation between social media use, procrastination, and test anxiety. Regression analysis showed that both the use of social media and procrastination significantly forecasted test anxiety, indicating that an increased occurrence of problematic digital engagement and reduced self-control leads to academic stress. These findings highlight the fact that university-level interventions encourage healthier digital habits and stronger individual control of students. Also, it emphasizes the need for parents and educators to promote effective study habits and self-regulation, as excessive social media use limits students’ available study time.

This community service activity reports the implementation of a token economy technique to support attention during English-language learning at LKP Endemic, Warungjayeng, Nganjuk. The activity used a classroom-action-oriented plan–act–observe–reflect framework involving 12 learners. Attention was operationalized through 20 observable indicators grouped into seven dimensions: attention orientation, sustained attention, task engagement, response to instruction, active participation, distraction control, and self-regulation. The intervention combined immediate token delivery, behavior-specific verbal praise, token recording, exchange opportunities, and gradual fading. Descriptive results showed a group mean of 43.92/80 at pre-intervention, 56.08/80 in Cycle I, and 67.75/80 in Cycle II. The absolute increase from baseline to Cycle II was 23.83 points, corresponding to a relative increase of approximately 54.26% from baseline. The largest descriptive improvements were observed in response to instruction, active participation, distraction control, and self-regulation. Cycle I reflection identified the need for more consistent timing of token delivery, more explicit behavior-specific praise, and reduced dependence on external rewards; these changes informed Cycle II through selective token delivery and gradual fading. Because the activity involved a small group without a comparison condition, the findings should be interpreted as descriptive evidence of local implementation rather than as a causal estimate of effectiveness. The findings provide a practical framework for integrating behavioral reinforcement with English-learning activities in a non-formal learning setting.

Purpose Academic procrastination (AP) is a pervasive self-regulatory problem that undermines students’ academic functioning and psychological well-being. This study examined the direct and indirect relationships between growth and fixed mindsets, internal and external locus of control, and AP in sports science students. Method Internal and external locus of control were tested as parallel mediators in separate growth and fixed mindset models. A cross-sectional predictive design was employed with 544 undergraduate sports science students in Eastern Anatolia, Türkiye. Participants completed measures of mindset, locus of control, and AP. Parallel mediation analyses were conducted using PROCESS Macro (Model 4) with 5,000 bootstrap samples, controlling for age and gender. Results The direct effects indicated that a growth mindset was negatively associated with AP, whereas a fixed mindset was positively associated with AP. A growth mindset was positively associated with an internal locus of control and negatively associated with an external locus of control, whereas a fixed mindset was negatively associated with an internal locus of control and positively associated with an external locus of control. An external locus of control was positively associated with AP and significantly mediated the relationships between both mindset dimensions and AP. In contrast, the internal locus of control did not significantly mediate either relationship. Male students reported higher AP levels than female students, and age was negatively associated with AP. Conclusion These findings suggest that an external locus of control is a key behavioral mechanism linking mindset beliefs to AP. Interventions targeting maladaptive external control beliefs may help reduce AP among sports science students.

This study examined the associations of self-regulation, self-esteem, and digital literacy with students' perceived learning achievement at Ariya Metta Vocational High School, Tangerang. The quantitative ex post facto study included 154 students drawn from a population of 250 through proportional stratified random sampling. Online questionnaire responses were analysed using multiple linear regression in SPSS version 27. Self-regulation (B = 1.349; β = 0.494; t = 6.739; p < .001) and self-esteem (B = 0.624; β = 0.345; t = 4.113; p < .001) were positively associated with perceived achievement after adjustment for the other predictors. Digital literacy showed no significant unique association (B = 0.040; β = 0.019; t = 0.248; p = .804). The model accounted for 63.0% of the observed variation (R² = .630; adjusted R² = .622). Although digital literacy was significant in a simple regression, the association did not persist in the full model, indicating overlapping explanatory information among predictors. The findings support attention to learning management and students' evaluations of themselves while encouraging academically purposeful uses of digital resources. Because achievement was self-reported and the design was observational, the results do not establish causality.

Sleep quality is fundamental to college students’ physical and psychological health and academic functioning. Amid increasing digitalization and stress, sleep problems remain prevalent among college students. Previous research has shown that physical activity, cognitive processing styles, and behavioral regulation patterns are associated with sleep outcomes, but these variables have often been examined separately, with limited attention to their integrated association structure. Based on cross-sectional survey data, this study used latent-variable structural equation modeling to examine the sequential indirect association pattern among physical activity, negative attentional bias, bedtime procrastination, and sleep quality. Using cluster sampling, data were collected from 921 college students from four universities in East China (439 males, 482 females; M_age = 20.34, SD = 1.59). Measures included the Physical Activity Rating Scale (PARS-3), Negative Attentional Bias Scale, Bedtime Procrastination Scale, and Pittsburgh Sleep Quality Index (PSQI). Structural equation modeling and bootstrap methods examined indirect associations. Results indicated that physical activity was significantly associated with lower PSQI scores, indicating better sleep quality (B_total = −0.072, β _total = −0.440, p < 0.001). Negative attentional bias and bedtime procrastination both showed significant partial indirect associations. The simple indirect associations through negative attentional bias and bedtime procrastination accounted for 20.8 and 15.3% of the total association, respectively. The sequential indirect association “physical activity → negative attentional bias → bedtime procrastination → sleep quality” was also significant, although its proportion was relatively small (4.2%). Overall, the total indirect association accounted for 40.3% of the total association. Multi-group structural analysis indicated that the association structure was broadly comparable across gender groups, although associations involving bedtime procrastination appeared stronger among female students. By integrating cognitive processing and behavioral regulation perspectives, this study provides a more integrative view of the association between physical activity and sleep quality. The findings suggest that college students’ sleep problems may be embedded within a broader system of health behaviors and psychological processes. Given the cross-sectional design, future longitudinal or experimental studies should examine the dynamic associations among these variables.

Generative artificial intelligence is fundamentally reshaping the cognitive conditions of knowledge innovation. While human–AI collaboration improves the efficiency of knowledge production, it may also induce creators to outsourcing cognitive work to AI systems. This study conceptualized this tendency as task-level metacognitive disengagement, defined as the immediate reduction of planning, monitoring, and reflection within a specific AI-assisted task, and, drawing on metacognition theory, cognitive offloading theory and self-regulated learning theory, examined its impact on knowledge innovation quality, its psychological mechanism, and boundary conditions through four complementary experiments. Experiment 1 showed that higher AI assistance significantly increased metacognitive disengagement. Experiment 2 revealed that cognitive offloading partially mediated the relationship between AI assistance and metacognitive disengagement. Experiment 3 confirmed the negative effect of cognitive offloading on knowledge innovation quality, specifically on novelty, usefulness, and developability, with metacognitive disengagement partially mediating this effect. Experiment 4 tested the proposed moderated mediation model and found that task complexity strengthened, whereas individual AI literacy weakened, the negative indirect effect of cognitive offloading on knowledge innovation quality through metacognitive disengagement. These findings reveal a hidden cognitive cost behind the efficiency gains of human–AI collaboration and provide empirical evidence and theoretical implications for cultivating innovative talent and designing human–AI collaborative mechanisms in the era of artificial intelligence.

Amid persistent classroom shortages in resource constrained educational system, makeshift classrooms have emerged as a widespread yet underexamined learning environment that may profoundly shape students’ academic experiences and outcomes.practical response to the shortage of classrooms. Nevertheless, there is limited knowledge concerning how these makeshift classrooms influence students’ educational experiences, especially in Social Studies. The study explored the lived experiences and academic performances of the students in learning Social Studies in the makeshift classrooms in Upper Sepaka Integrated School, Talahik Integrated School and Tapok Integrated School in Surallah North District. A phenomenological research design was used. Data were collected via in-depth interviews and analyzed using thematic analysis. The results indicated that students encountered several challenges including poor classroom conditions, instructional challenges, learning challenges and lack of involvement. Nevertheless, they showed resilience through peer collaboration, independent learning, self-regulation, and a positive mindset. Teachers also made adaptations includes interactive instruction, instructional adaptations, effective classroom management, and environmental adjustments to continue learning. However, the makeshift educational environment continued to impact on academic results with reduced engagement, interrupted learning, poor academic performance and reduced learning development. The key finding of the study is that although students and teachers can adapt to challenging learning environments, adaptation alone cannot compensate for poor classroom conditions. The findings highlight the need for better learning facilities, increased instructional support, and more responsive educational policies to provide equitable opportunities for success for students in marginalized learning spaces.

Pre-adolescence 9-12 years is a critical developmental period characterized by rapid biological, emotional, cognitive, and social changes that influence future mental health and well-being. Indian pre-adolescents increasingly encounter academic pressure, changing family dynamics, peer challenges, and extensive digital exposure, creating potential risks to emotional adjustment. Resilience, defined as the ability to adapt positively to adversity and recover from challenging experiences, is an important protective factor during this formative stage. This article aims to examine the determinants and dimensions of resilience among Indian pre-adolescents and to propose a culturally relevant, integrated framework for promoting resilience across biological, psychological, social, and digital domains. This article highlights key factors that strengthen resilience, including emotional regulation, self-esteem, self-compassion, problem-solving skills, supportive parenting, positive school environments, healthy peer relationships, and community connectedness. Digital resilience is also emphasized, encompassing safe technology use, digital literacy, responsible online behavior, and adaptive coping with cyberbullying, online risks, and excessive screen exposure. Based on existing evidence and contextual insights, the integrated pre-adolescent resilience model (IPARM) is proposed, integrating biological, psychological, social, and digital dimensions. Resilience promotion strategies are discussed at individual, family, school, community, and healthcare levels, with nurses and other health professionals playing an important role in early identification of vulnerable children, mental health promotion, and implementation of resilience-building interventions. Strengthening resilience during pre-adolescence represents a valuable preventive mental health strategy. A holistic and culturally responsive approach can foster emotional competence, psychological well-being, adaptability, and healthy development, enabling Indian children to navigate contemporary challenges and develop into confident and resilient individuals.

Digital transformation has reshaped how aviation technicians acquire knowledge, with YouTube and online professional communities becoming important sources for developing digital technical competencies. However, their effectiveness in enhancing digital skill mastery remains insufficiently understood. This study examines the effects of YouTube-Based Learning, Online Community Engagement, Learning from Failure, and Self-Regulated Learning on Digital Skill Mastery among aviation data communication system technicians. A quantitative cross-sectional survey was conducted involving 100 technicians in Indonesia, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Online Community Engagement significantly enhances Learning from Failure and Self-Regulated Learning, while Learning from Failure also positively influences Self-Regulated Learning. Furthermore, Self-Regulated Learning is the only significant direct predictor of Digital Skill Mastery and mediates the relationship between Learning from Failure and Digital Skill Mastery. These findings suggest that digital technical competence is developed primarily through reflective and self-regulated learning rather than through passive consumption of online tutorials. The study highlights the importance of integrating community-based learning, reflective practice, and self-regulated learning into aviation technician training programs.

تحول دیجیتال نحوه کسب دانش توسط تکنسین‌های هوانوردی را دگرگون کرده است، به‌طوری‌که YouTube و جوامع حرفه‌ای آنلاین به منابع مهمی برای توسعه شایستگی‌های فنی دیجیتال تبدیل شده‌اند. با این حال، اثربخشی این منابع در ارتقای تسلط بر مهارت‌های دیجیتال همچنان به‌طور کافی شناخته نشده است. این پژوهش به بررسی اثرات یادگیری مبتنی بر YouTube، مشارکت در جوامع آنلاین، یادگیری از شکست و یادگیری خودتنظیمی بر تسلط بر مهارت‌های دیجیتال در میان تکنسین‌های سیستم‌های ارتباط داده هوانوردی می‌پردازد. یک پیمایش کمی مقطعی با مشارکت ۱۰۰ تکنسین در اندونزی انجام شد و داده‌ها با استفاده از مدل‌سازی معادلات ساختاری حداقل مربعات جزئی (PLS-SEM) تحلیل گردید. نتایج نشان می‌دهد که مشارکت در جوامع آنلاین به طور معناداری یادگیری از شکست و یادگیری خودتنظیمی را ارتقا می‌دهد و همچنین یادگیری از شکست نیز تأثیر مثبتی بر یادگیری خودتنظیمی دارد. افزون بر این، یادگیری خودتنظیمی تنها پیش‌بینی‌کننده مستقیم معنادار تسلط بر مهارت‌های دیجیتال است و نقش میانجی در رابطه بین یادگیری از شکست و تسلط بر مهارت‌های دیجیتال ایفا می‌کند. این یافته‌ها حاکی از آن است که شایستگی فنی دیجیتال عمدتاً از طریق یادگیری تأملی و خودتنظیمی توسعه می‌یابد و نه صرفاً از طریق مصرف منفعل آموزش‌های آنلاین. این مطالعه بر اهمیت ادغام یادگیری مبتنی بر جامعه، تمرین تأملی و یادگیری خودتنظیمی در برنامه‌های آموزشی تکنسین‌های هوانوردی تأکید می‌کند.

Fifth-grade students often memorize the terms producer, consumer, and decomposer but struggle to reason about a food chain. This classroom action research aimed to improve the critical thinking skills of fifth-grade students in science (IPAS) on the topic of food chains at SDN 106162 Medan Estate through Culturally Responsive Teaching (CRT) supported by ethnocultural student worksheets (LKPD). The study followed the Kemmis and McTaggart spiral in two cycles involving 25 students. Critical thinking was measured by an essay test and observation based on Facione's six core skills (interpretation, analysis, evaluation, inference, explanation, and self-regulation). Data were analyzed descriptively, both quantitatively and qualitatively, complemented by N-Gain and paired-samples t-tests. The mean score rose from 41.3 (pre-action) to 63.3 (cycle I) and 81.0 (cycle II), while the proportion of students reaching the target increased from 0% to 20% and 84%. The greatest gain occurred in inference (+47.0 percentage points), whereas self-regulation remained the lowest indicator in cycle II (76.0%). The mean N-Gain was 0.68 (medium category) and the gains were statistically significant (paired t-test, p < 0.001). CRT supported by ethnocultural worksheets can serve as a contextual alternative for developing critical thinking in elementary science.

دانش‌آموزان پایه پنجم اغلب اصطلاحات تولیدکننده، مصرف‌کننده و تجزیه‌کننده را حفظ می‌کنند اما در استدلال درباره زنجیره غذایی با مشکل مواجه هستند. این پژوهش اقدام‌پژوهی کلاسی با هدف ارتقای مهارت‌های تفکر انتقادی دانش‌آموزان پایه پنجم در درس علوم (IPAS) با موضوع زنجیره غذایی در دبستان SDN 106162 Medan Estate از طریق رویکرد آموزش پاسخگو به فرهنگ (CRT) با پشتیبانی کاربرگ‌های دانش‌آموزی اتنوکالچر (LKPD) انجام شد. این مطالعه بر اساس مدل مارپیچی Kemmis و McTaggart در دو چرخه و با مشارکت ۲۵ دانش‌آموز صورت گرفت. تفکر انتقادی با آزمون تشریحی و مشاهده بر اساس شش مهارت اصلی Facione (تفسیر، تحلیل، ارزیابی، استنتاج، تبیین و خودتنظیمی) سنجیده شد. داده‌ها به صورت توصیفی، هم به شکل کمی و هم کیفی، و با استفاده از N-Gain و آزمون t زوجی تحلیل شدند. میانگین نمره از ۴۱٫۳ (پیش از اقدام) به ۶۳٫۳ (چرخه اول) و ۸۱٫۰ (چرخه دوم) افزایش یافت و نسبت دانش‌آموزان دارای عملکرد مطلوب از ۰٪ به ۲۰٪ و ۸۴٪ رسید. بیشترین افزایش در شاخص استنتاج (+۴۷٫۰ واحد درصد) مشاهده شد، در حالی که خودتنظیمی در چرخه دوم پایین‌ترین شاخص باقی ماند (۷۶٫۰٪). میانگین N-Gain برابر با ۰٫۶۸ (در دسته متوسط) بود و این افزایش‌ها از نظر آماری معنادار بودند (آزمون t زوجی، p < 0.001). رویکرد آموزش پاسخگو به فرهنگ با پشتیبانی کاربرگ‌های اتنوکالچر می‌تواند به عنوان جایگزینی زمینه‌مند برای توسعه تفکر انتقادی در آموزش علوم ابتدایی مورد استفاده قرار گیرد.

Background: Balancing employment and academic responsibilities has become a growing challenge for university students in Cambodia, yet empirical evidence on the determinants of work–study balance remains limited. Objective: This study develops an integrated model unifying time management, self-regulation, goal orientation, and peer support to examine their effects on work–study balance and its influence on academic performance. Method: A quantitative correlational design was employed with 300 working university students from BELTEI International University. Data were analyzed using SPSS and SmartPLS. Results: The structural model demonstrated moderate explanatory power, explaining 49.0% of the variance in work–study balance and 61.5% of the variance in academic performance. Goal orientation was the strongest predictor of work–study balance, followed by time management and peer support, while self-regulation showed no significant effect. Academic performance was significantly predicted by self-regulation, goal orientation, peer support, and work–study balance, whereas time management did not show a significant effect. Conclusion: These findings emphasize the importance of personal and social factors in promoting students' academic success and provide practical implications for policymakers and universities, while future research should validate the proposed model across diverse educational and cultural contexts. Contribution: These findings contribute empirical evidence from the Cambodian higher education context by addressing the determinants of work–study balance and academic performance within an integrated framework.

زمینه: ایجاد تعادل میان اشتغال و مسئولیت‌های تحصیلی به چالشی فزاینده برای دانشجویان دانشگاه‌های کامبوج تبدیل شده است، با این حال شواهد تجربی درباره تعیین‌کننده‌های تعادل کار و تحصیل همچنان محدود است. هدف: این پژوهش با توسعه یک مدل یکپارچه که مدیریت زمان، خودتنظیمی، جهت‌گیری هدف و حمایت همسالان را دربرمی‌گیرد، به بررسی تأثیر این عوامل بر تعادل کار و تحصیل و تأثیر آن بر عملکرد تحصیلی می‌پردازد. روش: طرح همبستگی کمی با مشارکت ۳۰۰ دانشجوی شاغل دانشگاه BELTEI International University اجرا شد. داده‌ها با استفاده از نرم‌افزارهای SPSS و SmartPLS تحلیل شدند. یافته‌ها: مدل ساختاری قدرت تبیین متوسطی را نشان داد؛ به‌طوری‌که ۴۹٫۰٪ از واریانس تعادل کار و تحصیل و ۶۱٫۵٪ از واریانس عملکرد تحصیلی را تبیین کرد. جهت‌گیری هدف قوی‌ترین پیش‌بینی‌کننده تعادل کار و تحصیل بود و پس از آن مدیریت زمان و حمایت همسالان قرار داشتند، در حالی که خودتنظیمی اثر معناداری نشان نداد. عملکرد تحصیلی به‌طور معناداری توسط خودتنظیمی، جهت‌گیری هدف، حمایت همسالان و تعادل کار و تحصیل پیش‌بینی شد، در حالی که مدیریت زمان اثر معناداری نداشت. نتیجه‌گیری: این یافته‌ها بر اهمیت عوامل فردی و اجتماعی در ارتقای موفقیت تحصیلی دانشجویان تأکید دارد و پیامدهای عملی برای سیاست‌گذاران و دانشگاه‌ها ارائه می‌دهد؛ همچنین پژوهش‌های آتی باید مدل پیشنهادی را در زمینه‌های آموزشی و فرهنگی متنوع اعتبارسنجی کنند. نوآوری: این یافته‌ها با پرداختن به تعیین‌کننده‌های تعادل کار و تحصیل و عملکرد تحصیلی در قالب یک چارچوب یکپارچه، شواهد تجربی جدیدی از بستر آموزش عالی کامبوج ارائه می‌دهد.

This article proposes a methodological framework for promoting preschool children’s development through emotional engagement in preschool education settings in Uzbekistan. Emotional engagement is understood as children’s meaningful involvement in learning experiences that acknowledge their feelings, encourage curiosity, and provide supportive relationships with educators and peers. The framework integrates storytelling, imaginative play, music, movement, creative activities, and responsive adult communication within everyday preschool routines. Its purpose is to create opportunities for emotional expression, developing self-regulation, social participation, and sustained involvement in learning. Particular attention is given to individual developmental needs, linguistic backgrounds, sensory preferences, and family experiences. Educators are encouraged to recognise children’s emotional cues, offer choices, adjust activity demands, and support participation without requiring uniform emotional responses. Observation during play and routine activities is proposed as a means of informing instructional decisions and documenting participation over time. The article is conceptual and methodological; it does not report an implemented intervention or measured developmental outcomes. Its contribution is an adaptable framework for preschool practice and the professional preparation of future educators at pedagogical universities. Further empirical research is required to assess its feasibility, effectiveness, and suitability across different preschool environments.

این مقاله چارچوبی روش‌شناختی برای ارتقای رشد کودکان پیش‌دبستانی از طریق درگیری هیجانی در محیط‌های آموزشی پیش‌دبستانی در ازبکستان ارائه می‌دهد. درگیری هیجانی به‌عنوان مشارکت معنادار کودکان در تجارب یادگیری که احساسات آن‌ها را به رسمیت می‌شناسد، کنجکاوی را تشویق می‌کند و روابط حمایتی با مربیان و همسالان فراهم می‌آورد، درک می‌شود. این چارچوب، داستان‌گویی، بازی تخیلی، موسیقی، حرکت، فعالیت‌های خلاقانه و ارتباط پاسخگو با بزرگسالان را در روال‌های روزمره پیش‌دبستانی ادغام می‌کند. هدف آن ایجاد فرصت‌هایی برای ابراز هیجانی، توسعه خودتنظیمی، مشارکت اجتماعی و درگیری پایدار در یادگیری است. توجه ویژه‌ای به نیازهای رشدی فردی، پیشینه‌های زبانی، ترجیحات حسی و تجارب خانوادگی معطوف شده است. از مربیان خواسته می‌شود نشانه‌های هیجانی کودکان را تشخیص دهند، گزینه‌هایی ارائه دهند، الزامات فعالیت‌ها را تعدیل کنند و از مشارکت حمایت نمایند بدون آن‌که پاسخ‌های هیجانی یکسانی را مطالبه کنند. مشاهده در حین بازی و فعالیت‌های روزمره به‌عنوان روشی برای اطلاع‌رسانی تصمیمات آموزشی و مستندسازی مشارکت در طول زمان پیشنهاد می‌شود. این مقاله ماهیتی مفهومی و روش‌شناختی دارد و گزارشی از اجرای مداخله یا سنجش پیامدهای رشدی ارائه نمی‌دهد. سهم آن، ارائه چارچوبی قابل انطباق برای عمل پیش‌دبستانی و آماده‌سازی حرفه‌ای مربیان آینده در دانشگاه‌های تربیت معلم است. انجام پژوهش‌های تجربی بیشتر برای ارزیابی امکان‌پذیری، اثربخشی و تناسب آن در محیط‌های مختلف پیش‌دبستانی ضروری است.

Artificial intelligence (AI) is now part of everyday academic work in higher education, including feedback. However, AI feedback does not automatically lead to learning. It can help students rethink a concept, improve a draft, and notice gaps in their work, but it can also create a false sense of progress when students accept suggestions without understanding them. This Perspective article argues that responsible AI feedback depends on faculty readiness and students’ evaluative judgement. Readiness is not mainly technical. It involves pedagogical judgement: knowing how to design tasks in which students work with feedback, compare it with evidence, revise with purpose, explain their choices, and remain responsible for the final submission. The article focuses on generative AI feedback and uses metacognitive calibration as a central concept. Calibration refers to the relationship between students’ confidence or self-judgement and independently evaluated evidence of performance. Evaluative judgement concerns students’ capacity to judge the quality and relevance of feedback and work, whereas calibration concerns the accuracy of their judgements relative to independently evaluated performance evidence. The article shows how ideas from feedback literacy, evaluative judgement, and self-regulated learning need to be adapted when feedback comes from systems whose accuracy and educational value cannot be assumed. It proposes a conceptual responsible AI feedback design cycle linked to assessment integrity, university policy, and faculty development. Although the cycle requires empirical testing, it offers a practical way to support reflection, calibrated judgement, and accountability without replacing students’ thinking.

هوش مصنوعی (AI) اکنون بخشی از فعالیت‌های روزمره دانشگاهی در آموزش عالی، از جمله بازخورد، است. با این حال، بازخورد هوش مصنوعی به طور خودکار منجر به یادگیری نمی‌شود. این بازخورد می‌تواند به دانشجویان کمک کند تا یک مفهوم را بازاندیشی کنند، پیش‌نویسی را بهبود دهند و شکاف‌های موجود در کار خود را تشخیص دهند، اما همچنین ممکن است حس کاذبی از پیشرفت ایجاد کند زمانی که دانشجویان پیشنهادها را بدون درک آن‌ها می‌پذیرند. این مقاله دیدگاه بیان می‌کند که بازخورد مسئولانه هوش مصنوعی وابسته به آمادگی اعضای هیئت علمی و قضاوت ارزشیابانه دانشجویان است. آمادگی عمدتاً فنی نیست، بلکه شامل قضاوت آموزشی است: دانستن اینکه چگونه وظایفی طراحی شوند که در آن دانشجویان با بازخورد کار کنند، آن را با شواهد مقایسه کنند، با هدف بازنگری کنند، انتخاب‌های خود را توضیح دهند و همچنان مسئولیت ارسال نهایی را بر عهده داشته باشند. این مقاله بر بازخورد مولد هوش مصنوعی تمرکز دارد و از کالیبراسیون فراشناختی به عنوان یک مفهوم مرکزی استفاده می‌کند. کالیبراسیون به رابطه بین اعتماد به نفس یا خودقضاوت دانشجویان و شواهد ارزیابی‌شده مستقل از عملکرد اشاره دارد. قضاوت ارزشیابانه به ظرفیت دانشجویان برای قضاوت درباره کیفیت و ارتباط بازخورد و کار مربوط است، در حالی که کالیبراسیون به دقت قضاوت‌های آن‌ها نسبت به شواهد عملکرد ارزیابی‌شده مستقل مربوط می‌شود. مقاله نشان می‌دهد که چگونه ایده‌های سواد بازخورد، قضاوت ارزشیابانه و یادگیری خودتنظیمی باید زمانی که بازخورد از سیستم‌هایی می‌آید که دقت و ارزش آموزشی آن‌ها مفروض نیست، تطبیق یابد. این مقاله یک چرخه مفهومی طراحی بازخورد مسئولانه هوش مصنوعی را پیشنهاد می‌کند که به سلامت ارزیابی، سیاست دانشگاه و توسعه اعضای هیئت علمی مرتبط است. اگرچه این چرخه نیازمند آزمون تجربی است، اما راهکاری عملی برای حمایت از تأمل، قضاوت کالیبره‌شده و پاسخگویی بدون جایگزینی تفکر دانشجویان ارائه می‌دهد.

This study aimed to investigate the relationship between Future Time Perspective (FTP) and health behavior among patients with colorectal cancer (CRC), as well as the mediating role of intention and the moderating roles of behavior prepotency and self-regulatory capacity. A multicenter cross-sectional study was conducted from April to June 2025, including 635 postoperative patients with CRC from three tertiary hospitals in China. Participants completed validated scales measuring FTP, intention, health behavior, behavior prepotency, and self-regulatory capacity. A moderated mediation model was tested using the PROCESS macro (Model 16) with bootstrapping. FTP was positively associated with both health behavior and intention. Intention was positively associated with health behavior. Behavior prepotency significantly moderated the intention-health behavior association, but the index of moderated mediation was not significant; self-regulatory capacity significantly moderated the indirect effect. Overall, these findings are consistent with a dual-pathway pattern in which FTP is directly associated with health behavior and indirectly associated with it through intention, with behavior prepotency and self-regulatory capacity playing distinct moderating roles. The cross-sectional design precludes causal or temporal inferences.

این مطالعه با هدف بررسی رابطه بین چشم‌انداز زمانی آینده (FTP) و رفتار سلامت در بیماران مبتلا به سرطان کولورکتال (CRC)، همچنین نقش میانجی‌گری نیت و نقش‌های تعدیل‌گر غلبه رفتار و ظرفیت خودتنظیمی انجام شد. یک مطالعه مقطعی چندمرکزی از آوریل تا ژوئن ۲۰۲۵ انجام شد که شامل ۶۳۵ بیمار پس از عمل جراحی مبتلا به CRC از سه بیمارستان سطح سوم در چین بود. شرکت‌کنندگان مقیاس‌های معتبر سنجش FTP، نیت، رفتار سلامت، غلبه رفتار و ظرفیت خودتنظیمی را تکمیل کردند. یک مدل میانجی‌گری تعدیل‌شده با استفاده از ماکروی PROCESS (مدل ۱۶) و بوت‌استرپ مورد آزمون قرار گرفت. FTP با هر دو متغیر رفتار سلامت و نیت رابطه مثبت داشت. نیت با رفتار سلامت رابطه مثبت داشت. غلبه رفتار به طور معناداری رابطه نیت-رفتار سلامت را تعدیل کرد، اما شاخص میانجی‌گری تعدیل‌شده معنادار نبود؛ ظرفیت خودتنظیمی اثر غیرمستقیم را به طور معناداری تعدیل کرد. در مجموع، این یافته‌ها با الگوی دو مسیره‌ای سازگار است که در آن FTP به طور مستقیم با رفتار سلامت و به طور غیرمستقیم از طریق نیت با آن مرتبط است و غلبه رفتار و ظرفیت خودتنظیمی نقش‌های تعدیل‌گر متمایزی ایفا می‌کنند. طرح مقطعی مطالعه، استنتاج‌های علی یا زمانی را محدود می‌کند.