Cognitive Assessment of Special Needs Children in Quran Lessons

Developing computer-based applications and utilizing biometric technology to help special needs students master Arabic letters and Quranic learning.

Centre: Centre of Quranic Research
Partners: Faqeh Foundation & PPKI SK Sultan Alam Shah (1)

5 Student Categories

2 Key Institutions

Eye Tracking Biometrics

High Engagement Rate

The Objective

This project collaborates with the Centre of Quranic Research to assist Muslim Special Needs Students in becoming familiar with Arabic letters. By developing a biometric-integrated application, researchers assess visual attention and emotional states during learning to identify the best interaction methods for students with autism, Down syndrome, and ADHD.

Technological Innovation

Using non-verbal behavioral investigation, the project applies eye trackers to detect arousal rates and visual focus. This data gives critical insight into the interest levels and cognitive difficulties experienced by special needs children, allowing for highly personalized Quranic modules.

Engagement & Community Feedback

Collaborator Consultation Direct consultation with Fakih teachers to understand the capabilities of autism and Down syndrome learners.

Application Testing Testing the developed application at PPKI Sek Kebangsaan (1) Sultan Alam Shah with ADHD and slow learner groups.

Syllabus Integration Designing modules specifically adapted from the learning methods of the Faqeh Foundation.

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Motivation Boost Students showed significantly increased interest and motivation while interacting with the digital learning system.

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Teacher Validation Educators observed that students were far more engaged when learning was assisted by intuitive technology.

Scale Potential Recommendation to adopt these biometric principles across other special education syllabi.

Project Multimedia

Global Goal Alignment

This project supports inclusive and equitable quality education while reducing inequalities for children with special needs.