ICITL 2023, the International Conference of Innovative Technologies and Learning, ICITL is opened to the public for organizing tracks to achieve diversity of the symposium.
In this speech, we introduce a new way to enhance learning through a digital twin theater based on three key theories: situated cognition, embodied cognition, and mind in motion. Unlike traditional VR/MR/AR/Meta, the theater allows learners to be recognizable and visible, interact with both physical and virtual objects and real/virtual humans. The theater evaluates the learner’s performance in real-time and provides immediate feedback. Our approach makes it possible to design a learning environment based on these theories, with the ability to test and evaluate feedback in real-time. By making textbook content available in a digital environment, learners can fully immerse themselves in the learning process, transforming learning into service and responsibility.
Dr. Gwo-Dong Chen is a Chair Professor and director of the research center for learning science and technology at National Central University, Taiwan. He has a background in electrical engineering and was previously the director general of the Taiwan National e-learning program office and National Science Council. His research focuses on creating a digital environment for learning, which uses depth cameras to incorporate recognizable and visible images of the user into the digital environment for learning. This approach transforms learning into service and responsibility and is particularly suitable for theories such as situated cognition, embodied cognition, and mind in motion. Dr. Chen and his students have received numerous best paper awards and best paper nominations from prestigious conferences GCCCE, ICCE, and ICALT related to research on digital theater.
In this speech, we will explore how artificial intelligence (AI) technology is revolutionizing STEM education and transforming the way we teach and learn. AI has emerged as a powerful tool in various industries, revolutionizing the way we work, communicate, and even learn. The personalized learning, interactive experiences, intelligent tutoring systems, and data analytics offered by AI can enhance students’ understanding, engagement, and achievement in STEM subjects. By harnessing the potential of AI, we can enhance the learning experience, inspire curiosity, and equip students with the skills needed in a rapidly evolving world. We believe that integrating artificial intelligence technology into STEM education holds immense potential to transform the learning experience for students. By embracing AI in education, we can equip our students with the skills and knowledge needed to thrive in a technology-driven world.
Chin-Feng Lai is a professor at Department of Engineering Science, National Cheng Kung University and Department of Computer Science and Information Engineering, National Chung Cheng University since 2016. He received the Ph.D. degree in Department of Engineering Science from National Cheng Kung University, Taiwan, in 2008. He received Best Paper Award from IEEE 17th CCSE, 2014 International Conference on Cloud Computing, IEEE 10th EUC, IEEE 12th CIT . He has more than 180 journal paper publications and 12 papers selected to TOP 1% most cited articles by Essential Science Indicators (ESI). He serves as editor or associate editor for IEEE Access, Applied Soft Computing Journal, IET Networks, KSII Transactions on Internet and Journal of Internet Technology. He is TPC Co-Chair for ICITL 2022, IC3 2018, FCST2014, ICS2014. His research focuses on Engineering Education, AIoT etc.