Research on the Integration of Online and Offline Teaching for the Course "Error Theory and Data Processing"

Abstract

With the rapid development of data science and measurement technology, the importance of error theory and data processing has become increasingly prominent across various fields. This study aims to explore the integration of online and offline teaching for the course "Error Theory and Data Processing" in order to improve teaching effectiveness and enhance students' practical application abilities. By systematically analyzing the basic concepts of error theory and its applications in data processing, the study proposes a teaching design plan that incorporates constructivist learning theory, emphasizing the diversity of online teaching resources and the practicality of offline teaching activities. Ultimately, through the evaluation of teaching outcomes and analysis of learner feedback, this paper envisions innovative directions for future educational models, including personalized learning and interdisciplinary integration.