Implementing and Learning Bayesian Approach in STEM Education

Abstract

STEM education is an inevitable requirement of the modern educational process. This paper provides an overview of the need for STEM learning and proposes a concept for creating a STEM learning model
based on Bayesian probability theory. Today, teachers are asked to think outside the box in order to prepare their students for a career and professional life, and in this formulation of the problem using STEM, student literacy is one of the main requirements for the competence of a young specialist. While many educators today eagerly accept this challenge and are driven by curiosity and motivation to succeed, it can be a daunting and daunting task. In this paper, we propose some concepts of generalization of Bayesian probability theory and STEM education.