Exploration of Blended Teaching in Data Mining Course Based on STEM Education Concept

Abstract

With the deep development of big data, artificial intelligence and other technologies, data thinking ability, engineering practice ability and theoretical innovation ability have become the core educational objectives for colleges and universities to cultivate high quality composite "new engineering" talents. In view of the current situation that the teaching content of traditional computer courses is boring and difficult to understand, the teaching is teacher-centered, which is difficult to stimulate students' interest in learning, and the course content is limited by credit hours to improve the teaching effect, this paper takes the teaching mode design of data mining course as an example to explore the teaching design of data mining course in colleges and universities based on the concept of STEM engineering education, and proposes an inquiry-based teaching design concept which is student-centered, problem-oriented and case-driven, and uses online and offline blended teaching method to realize students' personalized learning needs and encourage students to realize active learning, aims to cultivate students' data thinking ability, engineering practice ability and theoretical innovation ability, and to cultivate teamwork and the ability to use data mining knowledge to analyze and solve problems in the process of project practice, so as to explore a new path for cultivating high-quality composite "new engineering" talents.