2023.0120
NTNU, Nvidia, and GIGABYTE Collaborate to Launch Taiwan’s First Metaverse Lab
National Taiwan Normal University (NTNU) has partnered with Nvidia and GIGABYTE to establish Taiwan's first NVIDIA Studio x GIGABYTE Collaboration Space. This cutting-edge facility aims to immerse students in the latest digital creative technologies, offering high-performance computers, green screens, optical motion capture cameras, and virtual reality dynamic real-time tracking visual preview systems. The collaboration provides a comprehensive learning environment for aspiring metaverse and virtual reality creators.2022.1227
A Cross-Country Comparison of the Moral Thinking and Communication Competencies of Young Generations
The young generation is often labeled as the "strawberry" or "mommy" generation, as if they have low stress tolerance and are unable to be financially independent. However, these digital natives, nourished by the Internet world and emerging technologies, are sometimes highly concerned about social issues as an expression of their diversity and creativity.2022.1226
Look at Me!The application of facial recognition technology in science education
With the rapid development of facial recognition technology, the relationship between chang-es in our facial expressions and science learning is gradually being revealed and proven. Utilizing a facial expression analysis software (FaceReader) from the Netherlands, Distinguished Professor Mei-Hung Chiu of the Graduate Institute of Science Education at National Taiwan Normal Uni-versity and her collaborators have attempted to analyze the facial expressions high school and uni-versity students show as they undergo conceptual change during science learning. The exploration will allow teachers to provide timely adjustments to their instructional approach to better suit stu-dents’ needs.2022.1128
The Magic of Transforming Carbon Dioxide to Ethanol: An Analysis of Copper-Based Electrochemical Catalysts
Copper electrocatalysts have been shown in the past literature to selectively reduce carbon dioxide to hydrocarbons. However, due to the lack of systematic studies on time-scale resolved spectral features, the selectivity resulted from the surface atomic characteristics of the copper catalyst– could be copper metal or copper oxide, along the reaction path remains uncertain. This study introduces an X-ray absorption spectrum with a few seconds resolution scale to observe the chemical state evolution of catalysts in reactions. Under specific experimental conditions, it was observed that the average oxidation state consisted of the mixed oxidation states on the surface of copper material could be stably maintained on the electrode surface, thus steadily increasing the effective yield of ethanol. Combined with the first-principles simulations, the catalytic reaction pathway of CO2 conversion can be derived step-by-step and verified by experimental observations.2022.1121