Madjid SADALLAH

Ph.D., Researcher - Engineer

Short Bio

I am a computer scientist specializing in the intersection of artificial intelligence and education (AIEd), with a robust foundation in both theoretical and applied aspects of the field. I hold a PhD in Computer Science from the University Abderrahmane Mira, an Engineer degree in Computer Science from the University of Science and Technology USTHB, and a Magister degree in Computer Science from the University Abderrahmane Mira.

Currently, I am a postdoctoral researcher at LIRIS, within the TWEAK team. I am part of the MOBILES project, which leverages advanced analytics to understand and support the spatial practices of international students in France. My role involves developing AI-driven solutions to enhance educational experiences and foster better integration for students.

Previously, I worked as a research engineer at IMT Atlantique in Brest, France, where I developed innovative analytical tools and models for digital learning practices. Earlier, I was a full-time researcher at the Algerian Research Center on Scientific and Technical Information CERIST, focusing on data organization, learning technologies, educational data analysis, and the application of artificial intelligence to digital education. My work aims to bridge the gap between AI and education, making learning more accessible and effective through technology.

View my academic CV (in French)

Research Topics

My current research primarily focuses on the intersection of Learning Analytics, Educational Data Mining, and Artificial Intelligence in Education (AIEd). Key areas of interest include:

  • Artificial Intelligence in Education (AIEd): Utilizing AI techniques to personalize and optimize the learning experience.
  • Human-Computer Interaction (HCI): Enhancing the interaction between humans and computers in educational settings.
  • Technology-Enhanced Learning (TEL): Leveraging technology to create more effective and engaging learning environments.
  • Design and Co-Design of Analytics Tools: Developing and refining tools for analyzing educational data with end-user involvement.
  • Knowledge Engineering: Capturing, representing, and applying knowledge in educational contexts.
  • Digital & Multimedia Document Reengineering: Transforming digital content and multimedia resources to better support education.
  • Hypermedia and Hypervideo Systems: Exploring the use of hypermedia and hypervideo technologies in educational content and delivery.