Innovation of artificial intelligence in Biology Teaching – Taking “The exploration of the factors affecting enzyme activity” as an example

Abstract

"Factors affecting enzyme activity" is a key experimental course in biology in senior high school. Its main purpose is to enable students to learn to explore the factors that affect enzyme activity through experiments preliminarily. However, the actual degree of completion of the experiment in classroom teaching is not high due to the existence of some objective factors, such as the class-period arrangement, the difficulty of practical operation and some certain experimental risks. These objective factors makes students lack the intuitive understanding of relevant experiments and the in-depth understanding of scientific principles and connotation. In order to solve this problem, a feasible simulation method of enzyme activity experiment based on artificial intelligence is proposed in this paper. A neural network agent model is constructed based on the existing experimental data, and the model is used to replace the original physical experiment. This model can not only ensure the progress of the classroom, but also improve the students' intuitive understanding, deepen the understanding of the experiment, and cultivate exploratory thinking and scientific consciousness.