| Biography | |
|---|---|
 Prof. Yongjun Feng Shaanxi Normal University, China |
|
| Title: Research on the Application of Digital Image Processing Technology in the Chinese Universities Online Teaching and Learning Platform in the Metaverse Era | |
| Abstract: In order to prevent the large-scale spread of COVID-19 and affect the health of teachers and students, Chinese colleges and universities have generally postponed the start of school and adopted a mixed teaching model with online teaching as the main and offline teaching in 2020. However, the mixed teaching model has not yet been fully developed, how to monitor the quality of students' online learning and measure the quality of teachers' online teaching has become an important topic for university teaching academic research in the metaverse era. The research using digital image processing technology based on artificial intelligence big data to build university online course management platform, and intelligently judges whether students play mobile phones, ask others to take their place, distraction, daze, boredom and other bad class performances through face recognition sign-in, distance measurement between face and screen, student expression monitoring, etc, and intelligently judge the effective online teaching situation of teachers through the recognition of student expressions, thereby helping colleges and universities to conduct intelligent monitoring and evaluation of online learning for students and online teaching for teachers in the metaverse era, to improve the quality and teaching effects of online learning for teachers and students, and to help colleges and universities complete the fundamental task of cultivating students' moral and talent. | |
| Biography: Yongjun Feng Received the Ph.D degree from Xiamen University, in 2012. He is currently a Professor and Doctoral tutor of Shaanxi Normal University. And he has finished the Post-doctor research in Beijing Normal University in 2021. His research interests include Higher Education, Education Big Data, Deeping Learning. | |
