Intelligent Classroom Learning Model of College English Based on Data Mining Technology in Mobile Edge Computing Environment

Abstract

There are still a number of issues in college English classes, for example, the learning environment is relatively closed and some teachers lack a sense of innovation and reform, both of which have an impact on students' ability to improve their English skills. The expansion and application of big data technology in education have piqued the interest of educational researchers, industry and application practitioners, and industry management and decision-makers. This study uses educational data mining technology to model in the mobile edge computing environment, analyze and process, and create an overall design from three levels: teaching design process, learning activity process, and learning results, all based on big data in the smart classroom. The results show that using the algorithm with the interest index, the number of strong rules obtained can be used to derive a concrete relationship between learning behavior factors and learning effect, which can help users improve their learning behavior.