Resilience, attachment to God, and hope in mothers of children with a specific learning disability

Objectives: The aim of the current research was to study the relationship between resilience, personal attachment to God, and the level of hope in mothers of children with a specific learning disability (SLD). Methods: The study sample consisted of 131 mothers of children with a diagnosed SLD in the city of Tabriz, Iran, in 2018. The Conner-Davidson Resilience Scale, the Attachment to God Inventory developed by Rowatt and Kirkpatrick, and Snyder\u27s Adult Hope Scale were administered to the participants. Results: The results showed a significant positive correlation between hope and both resilience and a secure attachment style to God, as well as a significant negative correlation between hope and avoidant and anxious attachment to God. Conclusion: Concurrent regression analysis revealed that among the variables related to resilience and secure, anxious, and avoidant attachment, only resilience predicted hope. Resilience training for this group of parents as well as additional research designed to yield evidence-based practices related to the attachment to God variable in the area of special educational needs appears to potentially be of substantial value

Advancing Cognitive Accessibility: The Role of Artificial Intelligence in Enhancing Inclusivity

This editorial examines the transformative role of Artificial Intelligence (AI) in enhancing cognitive accessibility for neurodiverse individuals. It explores the evolution from conventional assistive technologies to sophisticated AI-driven solutions, highlighting how these advancements are reshaping inclusivity in education and the workplace. The piece critically analyzes the benefits and challenges of AI in this context, considering ethical implications, user-centered design, and the need for equitable access. It concludes with a call to action for continued innovation and collaboration in developing AI technologies that truly cater to the diverse needs of neurodiverse individuals

Applying Ant Colony Optimisation When Choosing an Individual Learning Trajectory

The effectiveness of learning depends in many ways on the organization of the educational process. These days, the educational environment is becoming more flexible and responsive to the needs of students. The traditional form of learning is expanding through the use of new approaches and teaching methods, learning systems, and information technology. Individual learning trajectory allows the learner to regulate the order of studying course modules and the pace of mastering the subject material. Decision-making in choosing the learning trajectory can be supported by specialized methods and tools. This paper proposes the use of ant colony optimisation to support decision making on the choice of an individual learning trajectory. #CSOC1120