درخت حوزه‌های تخصصی

This study aims to examine the relationship between self-advocacy skills, assistive technology use, and self-esteem among adults with physical disabilities. A cross-sectional design was employed, with data collected from 244 adults with physical disabilities. Participants completed validated self-report measures assessing self-esteem, self-advocacy skills, and assistive technology use. Pearson correlation coefficients were calculated to explore the relationships between the variables. A linear regression analysis was conducted to determine the extent to which self-advocacy skills and assistive technology use predict self-esteem. All analyses were performed using SPSS version 27. The results indicated significant positive correlations between self-esteem and both self-advocacy skills (r = .62, p < .01) and assistive technology use (r = .58, p < .01). Self-advocacy skills and assistive technology use were found to be significant predictors of self-esteem, accounting for 49% of the variance (R² = .49, F(2, 241) = 115.63, p < .001). The regression analysis revealed that self-advocacy skills (B = 0.34, β = .42, p < .001) and assistive technology use (B = 0.28, β = .36, p < .001) both positively influence self-esteem. The study concludes that self-advocacy skills and assistive technology use are crucial determinants of self-esteem in adults with physical disabilities. These findings highlight the importance of providing support and training in self-advocacy and access to appropriate assistive technology to enhance psychological well-being and autonomy in this population. Future research should explore these relationships longitudinally and across diverse disability groups.

This study aimed to investigate the predictors of academic self-concept in children with hearing impairments, focusing on the roles of emotion socialization and grit. Understanding these relationships can inform interventions to support the academic success and well-being of these children. The study employed a cross-sectional design with a sample of 271 children with hearing impairments, selected based on the Morgan and Krejcie table. Participants were assessed using the Self-Description Questionnaire I for academic self-concept, the Coping with Children's Negative Emotions Scale for emotion socialization, and the Grit Scale. Data were analyzed using Pearson correlation to examine bivariate relationships and linear regression to evaluate the predictive power of emotion socialization and grit on academic self-concept, using SPSS-27. Descriptive statistics indicated moderately high levels of academic self-concept (M = 3.45, SD = 0.58), emotion socialization (M = 4.12, SD = 0.73), and grit (M = 3.89, SD = 0.65). Pearson correlation showed significant positive relationships between academic self-concept and both emotion socialization (r = 0.45, p < 0.001) and grit (r = 0.52, p < 0.001). The regression model was significant (F(2, 268) = 76.45, p < 0.001), explaining 36% of the variance in academic self-concept (R² = 0.36). Emotion socialization (B = 0.35, p < 0.001) and grit (B = 0.45, p < 0.001) were significant predictors of academic self-concept. The study found that both emotion socialization and grit are significant predictors of academic self-concept in children with hearing impairments. These findings suggest that interventions aimed at improving emotion socialization practices and fostering grit could enhance the academic self-concept of these children, supporting their academic success and overall well-being.

This study aimed to evaluate the effectiveness of Interpersonal Reconstructive Therapy (IRT) in enhancing empathy and conflict resolution skills among parents of autistic children. This randomized controlled trial included 30 parents of autistic children, divided into an intervention group (n = 15) receiving IRT and a control group (n = 15) receiving no intervention. Participants were assessed at baseline, post-intervention, and four months post-intervention using the Interpersonal Reactivity Index (IRI) and Conflict Resolution Styles Inventory (CRSI). Data analysis involved repeated measures ANOVA and Bonferroni post-hoc tests, conducted using SPSS-27. The intervention group showed significant improvements in empathy and conflict resolution scores. Empathy scores increased from 54.78 (SD = 5.32) at baseline to 67.32 (SD = 5.67) post-intervention and were maintained at 65.91 (SD = 5.42) at follow-up. Conflict resolution scores rose from 62.14 (SD = 6.23) to 74.89 (SD = 5.47) post-intervention, with scores at follow-up being 73.28 (SD = 5.63). ANOVA results indicated significant main effects for Time (empathy: F(2, 56) = 45.67, p < 0.001, η² = 0.62; conflict resolution: F(2, 56) = 49.18, p < 0.001, η² = 0.64), Group (empathy: F(1, 28) = 32.78, p < 0.001, η² = 0.54; conflict resolution: F(1, 28) = 35.91, p < 0.001, η² = 0.57), and Time × Group interactions (empathy: F(2, 56) = 41.23, p < 0.001, η² = 0.59; conflict resolution: F(2, 56) = 43.89, p < 0.001, η² = 0.60). Bonferroni post-hoc tests confirmed significant improvements from baseline to post-intervention and baseline to follow-up. IRT significantly enhances empathy and conflict resolution skills in parents of autistic children, with improvements maintained over a four-month period. These findings highlight the potential of IRT as an effective intervention to support parents in managing the challenges of raising children with autism.

This study aims to explore teachers' narratives on implementing AI-based learning tools for students with severe disabilities. The objective is to understand the challenges faced, the impacts on students, and the experiences of teachers using these technologies in special education settings. A qualitative research design was employed, using semi-structured interviews to gather data from 16 certified special education teachers with experience in using AI-based learning tools. Participants were selected through purposive sampling to ensure a diverse range of perspectives. Interviews were transcribed and subjected to thematic analysis to identify key themes and patterns in the data. Three main themes emerged from the analysis: implementation challenges, the impact on students, and teacher experiences. Teachers reported significant technical difficulties, inadequate training, and limited administrative support as major challenges. Despite these issues, AI tools had a positive impact on student engagement, motivation, learning outcomes, social interaction, and behavioral changes. Teachers experienced a range of emotions, from initial skepticism to eventual acceptance, and highlighted the importance of peer support and professional growth. The study underscores the transformative potential of AI in special education, while also identifying critical areas that need attention for successful implementation. The integration of AI-based learning tools in special education offers significant benefits for students with severe disabilities, including enhanced engagement, improved learning outcomes, and better social interactions. However, successful implementation requires addressing technical issues, providing comprehensive training, securing administrative support, and fostering a culture of feedback and reflection. Future research should focus on long-term impacts, comparative effectiveness of different AI tools, and the development of effective training programs. Educational institutions must prioritize these areas to maximize the positive impact of AI technologies in special education.

The fusion of Information Communication Technology (ICT) and open educational resources (OER) has brought about a transformative wave in global education, elevating both student engagement and academic performance. Despite these positive strides, persistent challenges such as gender-based technology disparities and social factors remain prevalent. The COVID-19 pandemic has acted as a catalyst, accelerating the adoption of OER. This study examined availability and accessibility of open educational resources in distance learning centers in Oyo state A descriptive survey research design was adopted, the study gathered data through a Google Form-based online questionnaire, reaching 500 open educational students across three distance learning centres, 381 valid responses were retained for analysis, which was performed using SPSS software. The findings unveiled that open educational resources were available in distance learning centers, predominantly through e-library platforms. Students possessed access to essential devices and could connect to OER through their centre’s website and free Wi-Fi. A noteworthy negative correlation between resource availability and access was identified. Furthermore, a significant gender-based difference was noted, favouring male students with higher access to OER compared to their female counterparts. The study affirmed the availability of open educational resources in distance learning canters and the students' access to these resources. Recommendations included efforts to enhance availability, improve student access.