Keynote: A New Era of Teaching - Starting from Online Machine Learning Platform – PyCon Taiwan 2020
Day 1, 16:40–17:40
The world’s response to COVID-19 has resulted in the most rapid transformation of work styles and teaching methods. Many world-renowned companies like Google and Facebook had made announcements that WFH (Work From Home) will be extended until at least 2021.
In February 2020, National Cheng Kung University announced that courses with more than a hundred students enrolled should be moved into online courses. Many professors have to prepare online learning materials in a short time frame. Most of them made teaching videos and used moodle in the school as support for student learning.
My class, The Basics of Game-based Machine Learning, is an undergraduate elective course. I prepared to move it online for students because of the pandemic. I heard that online classes are not effective in educating students, so my graduate students and I, along with an online learning expert, think together on how to get through this semester of this class without too much effect on students’ learnings.
Besides pre-recorded teaching videos, we also use several online applications and social media, build collaborative FAQs for all questions, and establish an online competition platform that allows students to upload programming tasks for tests. The competition for all uploaded programming tasks will be significant evaluation factors and be broadcast live on the platform.
In my keynote section, I will give details on how the class is conducted, the use of the platform, and the future prospects of it. As a teacher, adapting trends and changes of students and the world in my way of teachings and thinking is a necessary step to maintain the competitive strength of Taiwan.
Slides not uploaded by the speaker.
Speaker: Wen Yu Su
Mr. Wen-Yu Su is a current Professor of Computer Science at National Cheng Kung University (NCKU), Taiwan. He holds a PhD and a Master’s degree in Electrical Engineering at New York University Tandon School of Engineering, and a Bachelor’s degree at NCKU. His prior experience includes being a postdoctoral researcher at Stanford University, an engineer in the Department of Information and Communication Technology at Industrial Technology Research Institute of Taiwan, and an Associate Professor at the Department of Computer Science and Information Engineering of Chung Hua University. Prior to 2011, Prof. Su focused on Digital Audio Signal Processing, Biomedical Signal Analysis, Image/Video Processor Design, Multi-Core Processor Design, Embedded Memory Management, and OpenESL. After 2012, he turned to focus on Audio Processing, Machine Learning, and Virtual Orchestra. Over the years, he has been working on improving students' practical ability.
Recognizing the increasing importance of information technology and computer progr
...
https://www.youtube.com/watch?v=wlKvSgOIjBA