Visual Hybrid Development Learning System (VHDLS) framework for children with autism.

Area of Science:

• Autism Spectrum Disorder (ASD) interventions
• Educational technology for special needs
• Child psychology and learning

Background:

• Children with autism often exhibit deficits requiring specialized educational approaches.
• Effective learning strategies for autistic children must capture their attention and interest.
• Research indicates that children with autism are predominantly visual learners.

Purpose of the Study:

• To propose a framework for developing effective learning systems for children with autism.
• To guide software developers in creating educational tools tailored to autistic learners.
• To enhance the engagement and learning experience for children with autism.

Main Methods:

• Development of a Visual Hybrid Development Learning System (VHDLS) framework.
• Integration of an instructional design model, multimedia cognitive learning theory, and learning style principles.
• Framework designed to specifically address the learning needs of children with autism.

Main Results:

• The proposed VHDLS framework demonstrated a significant increase in the attention of children with autism.
• The system effectively leveraged visual learning preferences to improve engagement.
• The framework provides a structured approach for creating autism-specific educational software.

Conclusions:

• The VHDLS framework is a promising approach for improving educational outcomes in children with autism.
• Tailoring learning systems to visual learning styles enhances attention and learning.
• This framework can guide the development of more effective digital learning tools for autistic learners.