教育心理学研究对人工智能神经网络设计的启示——以学习方式分类学(ICAP)研究为例

The Lesson of Educational Psychology Research on Artificial Intelligence Network Design —A Case Study of the ICAP Framework

The main purpose of educational psychology research is to understand how knowledge is learned. The core of artificial intelligence neural network research is to explore how the machine learns. The development of educational psychology over more than a century has produced plenty of mature theories and methods. The ICAP Framework is a major achievement in the field of educational psychology. How do the research methods and conclusion contribute to the artificial intelligence neural network design? In this article， we assume that there is a relationship between the four modes of ICAP and the design elements of artificial intelligence network. Components and algorithms of the current artificial intelligence neural network are classified into groups in accordance with the four modes of ICAP. On the basis of the principles of instructional design， a simple artificial intelligence network design is carried out according to the components of the artificial intelligence neural network classified in line with the modes of ICAP. This paper attempts to establish a corresponding reference relationship between human learning and machine learning while at the same time gives new insight into artificial intelligence neural network design research.