Computational Intelligence in Science Education

Abstract

Education is now facing great revolution with the integration of big data, artificial intelligent (AI), blockchain and many other emerging new techniques. The new technological innovations include hardware, software, and the new applications make the computational intelligence available in science education. AI is also expected to open the door to personalized learning processes, platforms and paths, which will allow each student to maximize her or his learning based on specific preferences and learning goals. In this paper, the development of computational intelligence, the student learning activities analysis on the basis of computer vision, and the blockchain for educational data sharing and data security are proposed to meet the requirements of next generation intelligent science education.