مهدی رستمی

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 objective of this study was to explore the experiences and perceptions of community integration and social participation among adults with intellectual disabilities (ID). This qualitative research employed semi-structured interviews to gather in-depth data from 27 adults with intellectual disabilities. Participants were recruited through purposive sampling from various community centers, support groups, and social service organizations. Data were collected until theoretical saturation was achieved. Thematic analysis was used to analyze the transcribed interviews, identifying key themes and subthemes that captured the essence of the participants' experiences and perceptions. The study identified four main themes: experiences of community integration, types of social activities, perceived benefits and challenges, and influencing factors. Participants reported a strong sense of belonging and personal growth through community activities, despite facing barriers such as stigma, accessibility issues, and financial constraints. Support systems, including family, professionals, and peer networks, played a crucial role in facilitating participation. Recreational, cultural, and educational activities, as well as volunteering, provided significant physical, emotional, and social benefits. Technological advancements, inclusive policies, and personal resilience were identified as critical factors influencing community integration. The findings highlight the importance of enhancing accessibility, support systems, and inclusive policies to promote community integration and social participation for adults with intellectual disabilities. Addressing the identified barriers and leveraging facilitators can improve their quality of life and well-being. Future research should employ mixed-methods approaches, include longitudinal studies, and consider the perspectives of family members, caregivers, and professionals to provide a more comprehensive understanding of the factors influencing community participation.

Objective: The aim of the study was to investigate the effectiveness of the Luthans psychological capital intervention model on the resilience and social adaptation of Turkmen divorced women. Method: The research method was a quasi-experimental design with a control group, pre-test, post-test, and two-month follow-up. The population consisted of all Turkmen divorced women who had visited the Behravan counseling centers in Gonbad Kavous city in the first four months of the year 2019. Among them, 30 participants were selected and randomly assigned to either the experimental or control group. The experimental group received weekly group interventions in 10 sessions of 90 minutes each. Both groups completed the Resilience (Connor & Davidson, 2003) and Social Adaptation (Weissman & Paykel, 1974) questionnaires at three stages: pre-test, post-test, and follow-up. Data were analyzed using mixed ANOVA with repeated measures. Findings: The findings showed a significant difference between the two groups in resilience (F=8.79, p=0.006) and social adaptation (F=5.39, p=0.028) at the post-test and follow-up stages. Conclusion: Based on the findings of this study, it can be concluded that training in the psychological capital intervention model helps improve the quality of life of divorced women by enhancing resilience and social adaptation.

This study aims to explore the impact of social support networks on the mental health of gifted students. The study utilized a qualitative research design with a phenomenological approach to capture the lived experiences of gifted students. Twenty-seven participants aged 12 to 18 were recruited from diverse educational settings through purposive sampling. Data were collected using semi-structured interviews, which provided in-depth insights into the participants' perceptions of social support and its impact on their mental health. The interviews were transcribed and analyzed thematically, with themes emerging through iterative coding and constant comparison until theoretical saturation was achieved. The findings revealed that emotional, academic, and peer support are critical for the mental health of gifted students. Family support, characterized by parental encouragement and emotional reassurance, and peer support, through empathetic friendships and social inclusion, were particularly significant. Teacher support also played a crucial role in addressing both academic and emotional needs. However, several barriers to support were identified, including stigma, lack of resources, overemphasis on achievement, peer competition, and reluctance to seek help. These barriers exacerbate feelings of isolation and stress, impacting the overall well-being of gifted students. Social support networks are essential in mitigating the challenges faced by gifted students and promoting their mental health. Creating inclusive and supportive environments in educational settings, addressing barriers, and providing targeted interventions can enhance the well-being of gifted individuals. Future research should focus on longitudinal studies and the intersectionality of giftedness with other demographic factors to develop comprehensive support strategies.