Ai Driven Interventions For Enhancing Developmental Growth In Children With Autism Spectrum Disorder
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AI-Driven Interventions for Enhancing Developmental Growth in Children with Autism Spectrum Disorder
Author: Radhakrishna Perumal
language: en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date: 2024-09-09
AI-Driven Interventions for Enhancing Developmental Growth in Children with Autism Spectrum Disorder explores the transformative potential of artificial intelligence (AI) in supporting the developmental needs of children on the autism spectrum. This insightful book bridges the gap between cutting-edge technology and practical applications, offering innovative strategies to empower families, educators, and caregivers.
Artificial Intelligence in Education
Author: Alexandra I. Cristea
language: en
Publisher: Springer Nature
Release Date: 2025-08-19
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education
AI in Learning, Educational Leadership, and Special Education: Innovations and Ethical Dilemmas
Artificial intelligence (AI) transforms the educational landscape, offering powerful tools to enhance learning, streamline leadership tasks, and support students with special needs. In learning environments, AI-driven platforms personalize instruction, adapt to diverse student needs, and offer real-time feedback, making education more efficient and engaging. In special education, AI technologies such as speech recognition, predictive analytics, and adaptive interfaces create new opportunities for inclusive learning. However, these innovations also raise critical ethical dilemmas, including concerns over data privacy, algorithmic bias, and equitable access. As AI evolves, further research may ensure organizations harness its potential responsibly and ethically. AI in Learning, Educational Leadership, and Special Education: Innovations and Ethical Dilemmas explores the integration of intelligent technologies in education practices. It examines various challenges and ethical issues surrounding effective AI usage, and the potential for improved leadership and accessibility. This book covers topics such as mental health, speech therapy, and big data, and is a useful resource for educators, computer engineers, psychologists, medical professionals, academicians, researchers, and data scientists.