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Poster Presentation
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AI Innovations in Early Detection of Learning Disabilities. Exploring how AI technologies can assist in the early identification of learning disabilities, leading to timely interventions.
Inclusive Teaching Strategies for Diverse Learners. Instructional strategies that support children with autism and learning disabilities in mainstream classrooms.
Role of Neurodiversity in Mental Health. Exploring the neurodiversity paradigm and its implications for understanding autism and learning disabilities as natural variations rather than deficits.
Family Engagement in Educational Practices. Family participation in the educational process to improve outcomes for children with disabilities.
Behavioral Therapy Efficacy and Innovations. Effectiveness of traditional and emerging behavioral therapies, including Applied Behavior Analysis (ABA) and newer approaches.
Future Directions in Autism Policy.
Psychosocial Factors Influencing Mental Health Outcomes. How family dynamics, community support, and social interactions impact the mental health of children with autism and learning disabilities.
Social-Emotional Learning (SEL) for Neurodiverse Students.
Assistive Technologies: Enhancing Communication and Learning.
Neurobiological Insights into Autism. Understanding the brain structure and functions associated with autism and learning disabilities
Co-Occurring Mental Health Disorders in Children with Autism. Analyze prevalence rates and treatment approaches for comorbid conditions such as anxiety, depression, and ADHD in children with autism.
Virtual Reality as a Therapeutic Tool. Investigate the use of virtual reality in creating immersive therapeutic environments for children on the autism spectrum.
Technology Integration in Special Education. Present innovative technology-based tools that facilitate learning and engagement for students with autism.
Navigating Individualized Education Programs (IEPs).
Longitudinal Studies on Autism Development. Longitudinal studies examining the progression of autism symptoms and cognitive development over time.
Navigating Educational Regulations: Ensuring Compliance and Support.
Artificial Intelligence in Autism Diagnosis. Explore the use of AI technologies in improving diagnostic accuracy and identifying early signs of autism in children.
Impact of Early Intervention on Neurodevelopment.
Telehealth Innovations for Autism Treatment. Advancements in telehealth and their role in providing accessible mental health services for children with autism.
Innovative Therapeutic Approaches for Autism and Learning Disabilities. Emerging therapies and interventions based on recent research aimed at improving mental health outcomes for children with autism.
Technology-Enhanced Learning: AI in the Classroom. How AI tools can personalize learning experiences for students with diverse needs, promoting engagement and academic success.
Policy Frameworks Supporting Autism and Learning Disabilities.
Genetic Factors and Autism Spectrum Disorders. Genetic research that uncovers links between specific genes and the risk of developing autism.
Abstract Template
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Abstract Submission Guidelines
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Abstracts submitted to the Conference should be written in English only.
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Abstracts should be submitted as per the template available above.
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Authors can submit their abstracts in Doc, Doxc and Pdf formats.
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Any act of plagiarism is totally unacceptable.
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Oral or Poster presentation should be nominated while submitting the abstract.
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Submissions not meeting these guidelines risk rejection without consideration of their merits.
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Notification of acceptance/rejection/required modifications of the Submitted Abstract will be notified within a week.