Launched in 2011, this joint master’s and doctoral program at Central China Normal University takes an interdisciplinary approach, combining knowledge from computer science, engineering, education, management, and the arts. Based on learner-centered teaching principles, the program looks at how information technology is transforming digital learning environments, tools, teaching methods, and educational content—helping to drive innovation and improve modern education.

The program includes six specialized areas of study:

1. Strategic Planning & Standards

Focuses on developing national strategies, action plans, and support systems for ICT in education. It also works on setting standards to ensure systems and resources can work together and be shared effectively.

2. Digital Learning Technologies

Designs learning spaces that combine physical and virtual environments—such as classrooms, homes, and outdoor settings. It uses technology to improve learning efficiency, support personalized learning, and make learning accessible anytime, anywhere.

3. Intelligent Learning & Knowledge Services

Studies smart technologies like automated reasoning, dynamic geometry, and virtual simulations. These tools help build subject-specific systems that assist teachers and encourage students to learn through exploration and problem-solving.

4. Multimedia Processing & Communication

Covers how multimedia—like video, audio, and streaming content—is transmitted and used. Topics include IPTV, P2P streaming, encoding, digital media protection, and content detection.

5. Digital Learning Resources

Focuses on creating and improving digital learning materials such as animations, educational games, virtual reality (VR), interactive simulations, and tools that work across different platforms. It also looks at how to make these resources reusable.

6. ICT Management & Engineering

Uses principles from management and systems engineering to manage ICT projects in education. This includes tracking and evaluating ICT use, monitoring networks, and developing systems to detect and prevent problems early.