[Retracted] Construction of Smart Higher Education Teaching Resources Using Data Analysis Technology in Unbalanced Data Environment

Abstract

The difficulty in gathering teaching resources presents challenges in the process of developing instructional materials for smart higher education. This essay makes a research proposal for a study using data mining technology to create instructional materials for smart higher education. The analysis of the dynamic scheduling mechanism of intelligent higher education teaching resources based on data analysis technology in unbalanced data environment follows research on the establishment of teaching materials from the discovery of teaching materials, the marking of teaching materials, and the organization of teaching materials. In the end, it is determined that class A students’ grades are unquestionably higher than those of class B students. Of course, there are some class B students who score higher than average, but class B students tend to score between 50 and 60 points on average, whereas class A students tend to score higher than average. The contrast is greater, and there are more pupils scoring between 90 and 100. The average grade for students in class A is 80.125, whereas the average grade for students in class B is 71.45. The lowest score in Class B is 51, the lowest score in A is 58, and the greatest score in A is up to 98. It is clear that the development of intelligent teaching resources for higher education based on data mining technology is very successful and has been thoroughly proven.

Research on Strategies for the Development of Higher Education Teaching in the Internet Age

“…There is an increased demand among students for flexibility, personalized learning, and experiential learning (Luo Yuting, 2022). They hope to access richer learning resources and engage in interaction with teachers and peers through Internet technology.…”

Theoretical Model Construction and Path Exploration of Intelligent Party Building Education in Colleges and Universities

“…Education changes and develops with the advancement of technology. From mechanization, automation, and computerization to informatization, there has been a major shift in educational concepts, goals, contents, and methods [1][2]. The rapid development of informatization to digitalization has given rise to smart education that optimizes the teaching process and promotes learner development through human-computer collaboration [3][4].…”

Research on the Innovation of Smart Teaching Mode of University Physical Education Driven by Digital Technology

“…Innovative teaching is a teaching method from the perspective of cultivating innovative talents by supporting online learning spaces to make students become bright talents [19]. Literature [20] constructed a dynamic scheduling model of innovative higher education teaching resources in a nonequilibrium data environment based on data mining technology, and this intelligent model realized the optimal scheduling of teaching resources in higher education and was fully verified. Literature [21] combines data mining technology and machine learning methods to construct an intelligent teaching evaluation model on the basis of a weighted plain Bayesian algorithm, which adopts the distribution of subject words obtained from the joint model training as the original knowledge and promotes the intelligent development of teaching evaluation.…”