Reform of College Physics Experiment Teaching Under the Background of Big Data

Abstract

With the continuous deepening of educational reform across various domains, the application of big data in education has become a new challenge facing educational authorities. The vast amount of data generated by students through diverse learning methods, when mined and deeply analyzed, can effectively enhance learning approaches and improve learning efficiency. Against the backdrop of big-data-based teaching, and in light of the practical characteristics of physics education, this paper analyzes mobile learning, ubiquitous learning, and educational big data both domestically and internationally. It provides a detailed account of the methods and roles of big-data-based teaching in physics experiment instruction, as well as how to conduct data mining, implement educational reform measures, and establish evaluation mechanisms.