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Classifying and Progress Monitoring System (CPMS)
CPMS is a Qatar University–funded research project (Grant #QUCG-CED-25/26-770) that leverages artificial intelligence to analyze assessment data and support the identification and classification of students with disabilities in Qatari schools. Using a purpose-built classification model aligned with the Response to Intervention (RTI) framework, CPMS assigns students to three tiers of support to guide targeted decision-making. The project also enables teachers and service providers to monitor student progress over time and generate actionable recommendations on evidence-based instructional and behavioral strategies to strengthen learning outcomes in school.
Our Goals
The CPMS project aims to enhance the accuracy of classifying students with disabilities by leveraging intelligent tools that reduce reliance on subjective human judgments. The project also seeks to empower teachers to continuously monitor student progress through user-friendly, interactive interfaces, thereby supporting data-driven educational decision-making. In addition, CPMS works to propose evidence-based instructional strategies that contribute to improving students’ academic performance and to strengthen the institutional partnership between Qatar University and the Ministry of Education and Higher Education in implementing smart solutions for inclusive education.
Our Vision
To drive a transformative shift in inclusive education practices in the State of Qatar through the development of an artificial intelligence–based intelligent system that enables accurate classification and continuous, equitable monitoring of students with educational challenges, thereby promoting equal learning opportunities and enhancing the quality of educational practices.
Our Mission
To leverage artificial intelligence technologies to analyze data on students with educational challenges and provide evidence-based, actionable recommendations for teachers and decision-makers, contributing to improved educational quality and more effective, individualized student support.
Meet our skilled team
Dr. Ahmad J. Abdel-Hafez
Assistant Professor in Data Science and AI
Dr. Nawaf S. Al-Zyoud
Associate Professor in Special Education
Prof. Maha K. Al-Hendawi
Professor in Special Education
Dr. Ali M. Alodat
Associate Professor in Special and Gifted Education
Prof. Ahmad F. Al-Ja'afreh
Professor in Computer Engineering