درخت حوزه‌های تخصصی

This study aims to identify the cognitive and emotional components of self-advocacy in exceptional learners and examine the external factors that influence their ability to advocate for themselves in educational settings. A qualitative research design was employed, utilizing semi-structured interviews with 29 exceptional learners recruited through online platforms. Theoretical saturation was reached, ensuring comprehensive data collection. NVivo software was used to conduct thematic analysis, identifying key cognitive and emotional factors related to self-advocacy. Participants shared their experiences regarding metacognitive awareness, decision-making, emotional regulation, and external support systems, providing rich qualitative data for analysis. The results indicated that self-advocacy among exceptional learners is shaped by cognitive competencies, including metacognition, decision-making, and information-seeking behaviors, as well as emotional factors such as self-efficacy, resilience, and emotional regulation. Participants who demonstrated strong metacognitive strategies and confidence were more effective self-advocates, whereas those facing anxiety or low self-efficacy struggled to assert their needs. External factors, such as educator support, family involvement, and institutional policies, played a critical role in shaping advocacy experiences. Online networks and digital advocacy resources were identified as valuable tools for enhancing self-advocacy skills. However, institutional barriers, including bureaucratic challenges and lack of awareness among educators, posed significant obstacles for learners. The study highlights the complexity of self-advocacy in exceptional learners, emphasizing the interplay between cognitive awareness, emotional resilience, and external support structures. Enhancing self-advocacy skills requires targeted interventions, including advocacy training, institutional support, and digital resource accessibility.

This study aimed to explore the impact of special education policies on the psychological well-being of exceptional students. This qualitative research employed a phenomenological approach, utilizing semi-structured interviews with 33 exceptional students recruited through online platforms. The study relied on theoretical saturation to determine the final sample size. Data were analyzed using thematic analysis with the support of NVivo software, following an inductive coding process to identify key themes related to emotional and psychological well-being, policy implementation, and future prospects of exceptional students. The results revealed three primary themes: emotional and psychological impacts, the effectiveness of special education policies, and long-term student outcomes. Participants reported experiences of stigmatization, social exclusion, and policy-related stress, which significantly affected their emotional well-being. While some students benefited from individualized education plans and supportive teacher interactions, others faced inconsistencies in policy implementation, leading to increased anxiety and uncertainty. The study also highlighted the crucial role of parental advocacy and teacher preparedness in ensuring the effectiveness of special education policies. Long-term concerns included access to higher education, career readiness, and independent living skills, with many participants expressing uncertainty about future accommodations and opportunities. The study underscores the critical influence of special education policies on the psychological well-being of exceptional students, emphasizing the need for stable, well-implemented policies, improved teacher training, and stronger parental engagement. Addressing inconsistencies in policy application and enhancing emotional support mechanisms within educational settings are essential steps toward fostering the well-being and long-term success of exceptional students.

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.

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 mediating role of executive functioning in the relationship between parental involvement and math achievement among children with learning disabilities. A descriptive correlational research design was employed, involving 379 Malaysian parents of children aged 9 to 12 years diagnosed with learning disabilities. Participants were selected using stratified random sampling based on the Morgan and Krejcie (1970) sample size determination table. Data were collected using three validated instruments: the Parent and School Survey (PASS) to assess parental involvement, the Behavior Rating Inventory of Executive Function (BRIEF) to measure children's executive functioning, and the Math Composite of the Wechsler Individual Achievement Test–Third Edition (WIAT-III) for math achievement. Pearson correlation analysis was conducted using SPSS version 27, and structural equation modeling (SEM) was performed using AMOS version 21 to test the hypothesized mediation model and assess the model fit. Pearson correlation results indicated significant positive relationships among all variables: parental involvement and executive functioning (r = .41, p < .001), parental involvement and math achievement (r = .36, p < .001), and executive functioning and math achievement (r = .48, p < .001). The SEM revealed an acceptable model fit (χ²/df = 1.84, CFI = 0.97, RMSEA = 0.045), and confirmed that executive functioning significantly mediated the effect of parental involvement on math achievement. Both the direct effect (β = 0.26, p < .01) and the indirect effect through executive functioning (β = 0.18, p < .001) were statistically significant. The findings underscore the importance of executive functioning as a cognitive mechanism through which parental involvement enhances mathematical performance in children with learning disabilities. Educational interventions should integrate strategies to strengthen both parental engagement and children’s executive functioning skills to optimize academic outcomes.