O - TAIDE Knowledge Graph

Step 1, observe and attend. The teacher observes the abilities of the learners prepares the corresponding CI teaching content  and goes to the teaching site. Step 2 & 3, study & research In the teaching field the teacher and the learners experience CI concept-based learning together and conduct in-depth research on the corresponding CI content. Step 4, Utilize & follow After CI learning, the learners can use and follow them for CI experience-based learning. Step 5, understand & know After CI experience-based learning learners understand and know the principles of CI and can carry out CI practice-based and operation-based learning. Step 6, explain & speak Learners can explain and describe the CI learning content to other learners for CI expression-based learning. From this event I also learned very great tools such as Open AI ChatGPT and the Midjourney. It was helpful for me as I plan to do with AI in my school research Automation can free teachers to focus on the teaching and engaging with students. From the first lecture from Professor Kubota. I learned the basic idea of the artificial intelligence. Today I learned the basic concept of neural network and evolutionary computation. I have a better understanding through the Teachable Machine. Nice to know what kind of education and how students are learning overseas. I have some experience to learn about artificial intelligence. It was nice to meet the people from the different countries. Today I use Teachable Machine to recognize mobile phone,  water bottles,  and charging cables The poor wifi just lagging and lagging the AI-FML robot and MoonCar too serious delay while I try to control the robotic vehicle. The teamwork was excellent and the collaboration was very enjoyable. It was a great learning experience. I learned a lot of about artificial intelligence and computer programs which help me better understand how to use these tools in this new generation. I learned about artificial intelligence today. I am playing with the Kebbi robot, showcase, and MoonCar I'm very joyful. I think this event is a good opportunity to learn about AI related knowledge I hope everyone can enjoy today's lessons. I'm excited about teaching students in Tsoying Senior High School.

hello so I'm Chi-Un Lei only you from your South Hong Kong or also Region 10 Educational Activities Subcommitee Chair so that's my original research interest is more and diving interest but also we work on stand education sector yes nice to meet you all We can have some more discussion maybe in the future okay so thank you very much Chang-Shing so first of all I'm currently the competition chair of the conference on Evolutionary Computation and together with Chang-Shing and the organizers of this conference hello everyone my name is Kuei-Ping Shih from Tamkang University Taiwan and I'm pleasure it's our it's my pleasure to join this group to have the opportunity to join this activity and I hope the activity can be a very smooth and very successful thank you okay thank you good morning and good afternoon I'm bringing you creatings from Chicago USA thank you for your invitation for me to say a few words and I apologize not being able to present online due to the the time difference my name is Lance Fung Region director of IEEE Asia Pecific Region R10 okay so today we will start sandbox workshop Computational Intelligence in CI for K12 and UG undergraduate students Outline, first  we will introduce  Sandbox Workshop in CI then, Episode 1 is Fuzzy System The Fuzzy System Inspired by Human Language so today we would like to ask our student and some learner to use human language control the human brain and human brain human language to some robot and vicing later or the some learning tool.

Connect to the AI-FML International Academy  to start today's Sandbox Workshop in CI. Episode 1: Fuzzy System Human Language and Knowledge Model Construct KB and RB by ZAI-FML Learning Platform Connect to the ZAI-FML Learning Platform. Professor Lee introduces fuzzy logic and fuzzy systems. Episode 2: Evolutionary Computation Biological Evolution, PSO and PFML Good afternoon, everyone. I am Yusuke Nojima from Osaka Metropolitan University, Japan. Students at the University of Hong Kong and the National University of Tainan cooperate to control the AI-FML robot in Taiwan.  Travel Remmendation:  Google Machine Learning Model Practice & Application.

After CI experiential learning, learners understand and know the principles of CI, and can carry out CI practical and operational learning. Connecting from Hong Kong to robots in Taiwan. The learners upload the travel recommendation system to the robot. The learners Connect to the ZAI-FML Learning Platform. The learners send the inferred result through the  MQTT protocol. We connect to the ZAI-FML learning platfrom from the University of Hong Kong. And then we deploy the human language model to the learning tool at the University of Hong Kong. and also the robot at National University of Tainan. We are doing the second round of testing. The learning tool has successfully received the  inferred result and activated the reflection. and the robot at National University of Tainan has also successfully activated the reflection. The Learners from Japan are connecting to the robot using the NUWA Lab. Welcome to Travel Recommendation System. Please give the evaluaiton and distance. Kebbi does not recommend this tourist spot. Kebbi recommends this tourist spot.

Learners can explain and describe the content of CI learning to other learners. I'm Xinyi Luo, studying at the University of Hong Kong. I am currently studying a master's degree. I felt the whole learning process was quite interesting. Based on the values of evaluation and distance to decide the tourist spot is recommended or not recommended. I'm Lonz Lee. I'm currently studying in Grade 5 of secondary school in Hong Kong. I'm just a senior high school student so that I don't have many opportunities to really study AI. I think that today's workshop is very informative and has lots of fun about AI. I am a freshman at National Cheng Kung University in Taiwan. My name is Che-Chia Liang. I have more thoughts on PSO-based learning  than on other topics. I found that when you input the same values for evaluation and distance,  you will get different levels of recommendation for before-learning and after-learning models. I'm Patty, a 6th-grade elementary school student, but I'll be entering 7th grade after two months. Today, I learned about fuzzy systems and evolutionary computation. Hello everybody, my name is Huang Yi-Lin. Today, I learned a lot of knowledge such as a robot, a learning tool, and a travel recommendation system. It's very precious. I will join more activities in the future. Thank you everybody. Hello everyone, my name is Sophia, a 4th-grade elementary school student. Today, I learned about FML and the robot suggests me choosing the best travel spot. Thank you for the host. I learned a lot of the AI systems that are currently developing where I can get great samples and how to rule with fuzzy logic with the browser. So, I think it was a great experience. Today, the information I listened to is very new to me, so I will try to take advantage of my robot, Kebbi, in my laboratory. So, thank you for inviting us today. Today's workshop was very productive and we accomplish many application together with our team members. The team work was very excellent and the collaboration was very enjoyable. Today's workshop is the second collaboration with the Computational Intelligence Society (CIS). We had the collaboration last time in March, and this one is the second time. Hopefully, we will gain experience and be able to apply it to the events in Korea  and also the Chicago department this year. Once again, I thank all the students. Thank you, and we hope to see you in Chicago and see you again in Korea. Thank you very much. See you. Bye bye.