درخت حوزه‌های تخصصی

Mathematical disorders, which are rooted in genetic factors and central nervous system dysfunction, can cause cognitive and psychological processing disorders. This study aims to determine the effectiveness of problem-solving training on executive functions and mental fatigue in female students. This study is a quasi-experimental design with a pre-test and post-test with a control group. The statistical population includes female students in the first year of high school in Miandoab city in the academic year 1401-02, from which 40 people were selected as a sample based on the available method and randomly assigned to two control and experimental groups. The research tool includes Coolidge's executive functions, 2002 version, differential or diagnostic tasks (Sedak and Kafta), and a problem-solving training protocol. SPSS 25 software was used to analyze the data. Results were shown that problem-solving training significantly affects executive functions (F=16.35, P< 0.00) and reduces cognitive fatigue (F= F=21.75, P< 0.00) in students. Therefore, problem-solving training as a strong capacity can reduce fatigue and increase executive functions.

The primary aim of this quasi-experimental study was to delve into the contrasting effects of In-text Feedback and Rubric-based Feedback on the writing performance and self-efficacy of Iranian Intermediate English as a Foreign Language (EFL) learners. To do so, 120 intermediate female English language learners between the ages of 12 and 16 were recruited based on non-random convenience sampling method from an English language institute to take Oxford Placement Test (OPT) to ensure a homogenized group of participants. Then, 60 participants whose scores fell within one standard deviation below and above the mean OPT score were recruited. The selected participants were randomly assigned to one of three groups: the in-text group, the rubric-based group, and the control group, with each group consisting of 20 students. Each group also took writing pre-test and completed self-efficacy questionnaire before the treatment. Next, the participants engaged in the assigned writing activities which were similar and received relevant feedback types for ten sessions. After the treatment, all groups took writing post-test and completed the self-efficacy questionnaire again. The results revealed that both in-text feedback and rubric-based feedback had a statistically significant effect on the writing performance of the learners. Additionally, there was a significant difference in the effect of in-text feedback versus rubric-based feedback on writing performance. In terms of self-efficacy, both types of feedback showed a statistically significant effect. However, there was no significant difference between the effects of in-text feedback and rubric-based feedback on self-efficacy. The findings of the study carry important implications for various stakeholders involved in English as a Foreign Language (EFL) learning, including learners, teachers, language centers, and teacher trainers.

This study investigates the impact of Iranian EFL learners' motivational goal orientations on their behavioral, cognitive, and emotional engagement in the classroom. Utilizing a mixed-methods design, the research involved 200 intermediate EFL learners from language schools in Iran, who completed the Oxford Quick Placement Test (OQPT), a Goal Orientation Survey, and a Student Engagement Questionnaire. The results show that mastery goal orientations, both approach and avoid, positively predict these engagement dimensions, while performance goal orientations do not significantly affect engagement. The findings highlight the importance of fostering mastery goals to enhance student engagement and improve language learning outcomes. The implications of this study suggest that educators should create a supportive learning environment that emphasizes mastery goals, thereby facilitating deeper engagement and better academic performance among EFL learners. This study investigates the impact of Iranian EFL learners' motivational goal orientations on their behavioral, cognitive, and emotional engagement in the classroom. Utilizing a mixed-methods design, the research involved 200 intermediate EFL learners from language schools in Iran, who completed the Oxford Quick Placement Test (OQPT), a Goal Orientation Survey, and a Student Engagement Questionnaire. The results show that mastery goal orientations, both approach and avoid, positively predict these engagement dimensions, while performance goal orientations do not significantly affect engagement. The findings highlight the importance of fostering mastery goals to enhance student engagement and improve language learning outcomes. The implications of this study suggest that educators should create a supportive learning environment that emphasizes mastery goals, thereby facilitating deeper engagement and better academic performance among EFL learners.

Given the transformative potential of technology-enhanced methods in language education, this study investigated the effect of AI-scaffolded learning-oriented assessment (LOA) on Iranian EFL learners' vocabulary acquisition. A quasi-experimental design was employed, with 40 male intermediate-level learners non-randomly assigned to an experimental group (AI-supported Nearpod platform with adaptive scaffolding) and a control group. The Oxford Placement Test ensured homogeneity, while the Vocabulary Knowledge Scale measured vocabulary gains. The experimental group received AI-driven scaffolding, including real-time adaptive feedback, tiered support, and interactive peer-review tasks aligned with LOA principles. Statistical analysis revealed a significant difference in post-VKS scores (M = 130.05) for the experimental group compared to the control group (M = 99.85), with a large effect size (t = 39.38, p < .001, d = 1.96). These results demonstrate that AI-scaffolding, when integrated with LOA, substantially enhances vocabulary learning by personalizing feedback and promoting active engagement. The study highlights the efficacy of AI tools like Nearpod in EFL contexts while underscoring the importance of pedagogical design, such as balancing automation with teacher guidance, to maximize learning outcomes. These findings advocate for the strategic adoption of AI-scaffolded LOA in language curricula, though challenges like digital literacy and equitable access warrant further exploration.

This study aimed to explore the digital literacy needs, challenges, and support preferences of adolescents with intellectual disabilities to inform inclusive educational practices and policy interventions. A qualitative research design was employed using semi-structured focus group interviews with 20 adolescents aged 13–18 years diagnosed with mild to moderate intellectual disabilities in Taiwan. Participants were recruited through purposive sampling from both inclusive mainstream schools and special education centers. Data collection was conducted through four focus groups, each comprising five participants. The interviews were audio-recorded, transcribed verbatim, and analyzed thematically using NVivo 14 software. Thematic saturation guided the completion of data collection. Trustworthiness was enhanced through triangulated coding, member checking, and maintaining an audit trail. Analysis revealed four overarching themes: (1) access to digital tools and infrastructure, (2) digital skills and usage patterns, (3) social and emotional factors, and (4) support systems and educational strategies. Participants reported limited and unequal access to digital devices, inadequate school resources, and lack of individualized digital instruction. While many adolescents demonstrated basic digital engagement (e.g., opening apps, watching videos), they struggled with more complex tasks such as evaluating online content or engaging in digital communication. Emotional barriers included fear of making mistakes and social comparison with peers. Support from family members and peers emerged as critical, while participants emphasized a need for gamified, visual, and hands-on digital training tailored to their learning styles. Adolescents with intellectual disabilities experience significant barriers to digital inclusion, stemming from infrastructural, cognitive, emotional, and instructional gaps. Addressing these challenges requires context-sensitive, learner-centered interventions and greater collaboration among educators, families, and policymakers to ensure equitable access to digital literacy education.

This study aimed to examine the predictive relationship between self-advocacy, resilience, and adaptive behavior in adults with ADHD. A correlational descriptive research design was used, with a sample of 400 adults with ADHD recruited through online platforms and mental health clinics. Participants completed standardized assessments, including the Adaptive Behavior Assessment System-Third Edition (ABAS-3) for adaptive behavior, the Self-Advocacy Measure for Youth and Adults (SAMYA), and the Connor-Davidson Resilience Scale (CD-RISC). Data were analyzed using Pearson correlation and multiple linear regression in SPSS-27 to evaluate the relationships between self-advocacy, resilience, and adaptive behavior. Descriptive statistics indicated moderate levels of adaptive behavior (M = 85.32, SD = 9.87), self-advocacy (M = 60.41, SD = 11.56), and resilience (M = 69.87, SD = 14.92). Pearson correlation results revealed significant positive associations between adaptive behavior and both self-advocacy (r = 0.58, p < 0.01) and resilience (r = 0.62, p < 0.01). Multiple linear regression showed that self-advocacy and resilience collectively accounted for 44% of the variance in adaptive behavior (F(2, 397) = 45.82, p < 0.01, R² = 0.44). However, when examined separately, self-advocacy (B = -0.09, p = 0.024) had a significant negative predictive effect, while resilience (B = -0.022, p = 0.502) was not a significant predictor. The findings suggest that while both self-advocacy and resilience are correlated with adaptive behavior, their individual predictive effects differ, with self-advocacy playing a more prominent role. These results highlight the importance of fostering self-advocacy skills in adults with ADHD to enhance adaptive functioning. Further research is needed to explore moderating factors that may influence these relationships.

Although a wealth of research has been conducted in the field of English language teaching, the studies related to the effects of digital story telling (DST) instruction as an innovative technique for language learning have been fairly insufficient. The present research made an effort to examine the effect of using DST on Iranian EFL learners’ reading comprehension and their motivation. To address the study objectives, 40 female learners from Marefat Language Institute were recruited based on the results of an OPT as a standard test to homogenize. The participants (20 in each group) were randomly assigned into an experimental group and a control one. To measure learners’ motivation, the Motivation Questionnaire by Dörnyei and Németh (2006) and Taguchi et al. (2009) was applied. The experimental group received DST instruction based on Robin’s model (2008) and the control group received the conventional method designed by the institute. The analysis of the groups’ performance in the pre-test and post-test through an independent samples t-tests revealed that the DST group significantly outperformed the control group in both reading comprehension and motivation. This study has several implications for language teachers and syllabus designers in the classroom context.