Evaluation and Improvement Strategies of Teachers’ Information Technology Teaching Ability Based on Data Mining

Abstract

The rapid evolution of emerging technologies such as the Internet of Things, big data analytics, and next-generation artificial intelligence has propelled education through the ranks to new heights. To promote the development of digital education in an all-round way and build a learning country under the strategic action of digital education in China, it is necessary to objectively and accurately evaluate the information-based teaching ability of college teachers. This paper takes the evaluation of teachers’ information-based teaching ability and the construction of promotion strategies as the research object, introduces the composition of teachers’ information-based teaching ability in detail, designs the evaluation index system of teachers’ information-based teaching ability from the perspective of educational digital strategic action, and constructs the promotion strategies of teachers’ information-based teaching ability based on the case study of teaching ability evaluation. The constructed evaluation index of teachers’ informatization teaching ability has strong maneuverability and the evaluation results are objective and accurate, which can be used as an evaluation model in the construction of teachers’ informatization teaching ability in colleges and universities and provide practical guidance for improving teachers’ informatization teaching ability in colleges and universities.