Research on the Evaluation and Improvement Strategy of the Teaching Quality of Information and Innovation Education Based on Big Data Analysis
Yuan Yue
College of Information Engineering, Zhengzhou University of Technology
Fan Zhang
College of Information Engineering, Zhengzhou University of Technology
Yu Su
College of Information Engineering, Zhengzhou University of Technology
DOI: https://doi.org/10.59429/pmcs.v6i1.6192
Keywords: Big data analysis; Education for information and innovation; Teaching quality evaluation; Improvement strategies; Optimization of teaching content and methods; Establishment of scientific evaluation system; Discovery and resolution of problems and risks
Abstract
This article uses big data methods to evaluate the quality of innovative education in information technology and proposes optimization 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.
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