Approaches to Speech Therapy for Children with Autism Spectrum Disorders (ASD)

International Journal of Child Health and Nutrition, Journal Year: 2025, Volume and Issue: 14(1), P. 32 - 45

Published: Feb. 10, 2025

Background: The article analyzes methods of correcting speech disorders in children with autism spectrum (ASD). It is based on a literature review and practical cases this issue. Methods: study used observation behavior, speech, communication ASD, questionnaires from parents, educators, correctional teachers, experimental research the information obtained. main correction ASD are highlighted, which include therapy, alternative augmentative (AAC), therapy using games imitation techniques, use behavioral multisensory approaches. Traditional innovative means for implementing outlined outlined. A methodology determining effectiveness proposed. Results: Criteria indicators evaluating have been developed. criteria development, development social skills, reduction stereotypical repetitive forms emotional regulation, communication, individual progress. Based developed criteria, survey was conducted among specialists disorders. traditional context implementation experimentally tested. above tested different groups including preschool, school, adolescent age. In course test, control group means, combination Conclusion: positive influence (ASD) language skills noted.

Language: Английский

Exploring the Machine Learning-Based Decision Tree Technique in Assessing Credit Risk Likelihood of P2P Fintech Lending for Effective Marketing

Advances in business strategy and competitive advantage book series, Journal Year: 2024, Volume and Issue: unknown, P. 397 - 422

Published: Oct. 18, 2024

Peer-to-Peer lending as a significant alternative finance source in reducing the credit gap worldwide. It is an innovative Fintech business model that integrates lenders and borrowers through internet without interference of banks. These platforms Non-banking financial institutions (NBFCs) perform assessment determine borrower's eligibility to safeguard investors reduce default risk. The study aims provide insight into their functionality introducing novel concept linking by exploring decision tree technique algorithm based on machine learning for forecasting Additionally, it highlights parameters judging reliability raising funds such platforms. credibility these techniques has psychological effect making effective investment decisions, impact corporate professionals marketing

Language: Английский