Computational Intelligence and AI-FML Experience Model for Pre-university Student Learning and Practice

Abstract

This paper presents the computational intelligence (CI) and artificial intelligence (AI)–fuzzy markup language (CI&AI-FML) learning model, called the CI&AI-FML human and machine co-learning model, for pre-university students to experience and practice CI&AI-FML. Since 2019, we have engaged much in interacting and working with teachers to teach pre-university students the basic concepts of computational intelligence, such as fuzzy sets and evolutionary computing in real-world applications. To inspire and encourage more pre-university students to attend these CI&AI-FML learning and experience activities, we organized a CI&AI-FML Machine Learning Competition @ IEEE WCCI 2022 and a workshop on AI-FML Robotic Learning with AIoT (AI of Things) Applications @ 2022 IEEE CIS Summer School in Taiwan. In these events, we prepare the key but simple concepts of the CI for pre-university students learning and practice, for example, learners can practice AI-FML learning tools with Augmented Creativity (AR) and Google Teachable Machine to travel recommendation applications. From the experimental results, this kind of learning model is suitable for pre-university students to experience and practice CI for real-world applications. In future, we hope to encourage more young students and researchers to work with CI techniques and methods for real-world applications.