Research on the evaluation and improvement strategy of the teaching quality of information and innovation education based on big data analysis

Abstract

This article uses big data methods to evaluate the quality of innovative education in information technology and proposes optimiza_x005ftion strategies. Through mining and analyzing a large amount of data, we have obtained more accurate and objective teaching quality evaluation results and proposed corresponding improvement strategies. Firstly, through big data analysis, we have gained a deeper understanding of
students’ learning needs, interests, habits, and performance, providing an important basis for optimizing teaching content and methods. Secondly, Using big data technology to build a teaching quality evaluation system can help us better understand and assess students’ learning situation and needs, achieving a combination of quantitative and qualitative evaluation, dynamic and static evaluation, and improving the accuracy
and objectivity of teaching quality evaluation. Finally, by analyzing data related to teaching quality, we have timely identified existing problems
and risks, and taken corresponding measures to effectively ensure the continuous improvement and enhancement of teaching quality.