About GuanZe Liao

Professor GuanZe Liao's academic background spans diverse fields including information design, engineering technology, information communication, industrial engineering management, and electrical engineering. His research expertise encompasses AI chatbot design, text fine-tuning, user experience/information interface research, interdisciplinary learning design, VR/AR media design, educational big data analytics, and learning technologies.

Professor Liao's research projects demonstrate a clear interdisciplinary nature and forward-looking vision, integrating multiple fields such as artificial intelligence, educational technology, humanities, arts, and digital media. His research is characterized by the following key features:

1. Interdisciplinary Innovation Integration:
   The research projects integrate various fields including artificial intelligence, educational technology, humanities, arts, and digital media. This interdisciplinary approach is evident not only in the selection of research topics but also in the application of research methodologies.

2. Balance between Theory and Practice:
   The research projects cover a comprehensive range from fundamental theoretical research to practical application development. This balance is demonstrated in projects spanning from basic research on the relationship between word semantics and imagery to the development of practical applications such as AI educational sandboxes and chatbots.

3. Focus on Educational Innovation:
   The majority of research projects revolve around the core theme of educational innovation, aiming to enhance learning effectiveness and educational quality through emerging technologies. Simultaneously, the research incorporates elements of humanistic concern, reflecting the importance placed on humanistic values in the process of promoting educational digitalization.

Professor Liao believes that design is the ability to solve problems. In the context of learning, design is based on design theory and serves as a constructive method under the strategy of problem-solving in diverse learning situations. The Design for Learning Lab, which he leads, aims to explore and integrate interdisciplinary research topics in universal design principles, learning technology, and learning sciences. 

The lab's mission is to:

• Incorporate design science into learning research methodologies

• Develop learning content

• Investigate learners' cognitive processes

• Construct learning interface tools

The ultimate goal is to expand research paradigms for novel learning issues.

This approach reflects Professor Liao's commitment to integrating design thinking with educational research, fostering innovation in learning technologies, and advancing our understanding of the learning process. By bridging the gap between design principles and educational theory, the lab creates a unique interdisciplinary space for exploring new frontiers in learning science and technology.