Launched in 2011, this interdisciplinary doctoral field features seven doctoral supervisors and eleven professors. It integrates expertise from computer science, communication engineering, education, management science, and the arts. Rooted in student‑ and learning‑centered pedagogy, the program investigates how information technology integrates with digital learning environments, methods, tools, and content to drive educational innovation and modernization. It combines theoretical research with applied technical solutions.

Six Key Research Areas:

Strategic Planning & Standards

Develops national strategies, plans, and support systems for digital education. It also works on building decision-making platforms and setting standards that help learners, resources, and systems work well together.

Digital Learning Technologies

Designs and studies mixed learning environments that combine physical and virtual spaces—like classrooms, homes, and outdoor areas. This research focuses on the best ways to use technology in different subjects, support various learning styles, improve learning efficiency, and allow learning anytime, anywhere.

Intelligent Learning Technologies & Knowledge Services

Explores key technologies such as automated reasoning, dynamic geometry, question generation, virtual simulations, and interactive software. The goal is to create smart learning systems that help train teachers and encourage students to learn independently through inquiry.

Multimedia Processing & Communication

Studies the theory and practical use of networked multimedia, including IPTV, peer-to-peer systems, streaming, audio/video encoding, multimedia monitoring, and protecting content security.

Digital Learning Resources

Focuses on making and combining multimedia materials like animations, games, virtual reality, and interactive simulations. It highlights creative design, tools for specific subjects, compatibility across platforms, and reusable content parts.

Educational Informatization Management & Engineering

Uses management and systems engineering principles to handle large educational technology projects. This includes managing projects, assessing their social and economic impact, monitoring networks, setting up early warning systems, and providing strategic advice based on performance data.