Litcius/Paper detail

Effect of Online and Offline Blended Teaching of College English Based on Data Mining Algorithm

Chaoqun Wu

2022Journal of Information & Knowledge Management32 citationsDOI

Abstract

Blended teaching is a kind of teaching that combines online teaching with traditional teaching, which is defined as “online and offline”. Through the organic combination of these two teaching forms, students’ learning can be from shallow to deep. Therefore, based on the data mining algorithm, this paper designs the method of College English online and offline blended teaching effect. First, it collects the College English blended teaching resources, then builds the College English online and offline teaching support, debugs the College English teaching environment, and finally designs the College English blended teaching model based on the data mining algorithm, so as to realize the College English online and offline blended teaching, The experiment shows that the method designed in this paper can effectively improve the reading ability of College English, and has certain application value.

Topics & Concepts

College EnglishOnline and offlineComputer scienceBlended learningMathematics educationReading (process)Teaching methodMultimediaAlgorithmEducational technologyPsychologyOperating systemLawPolitical scienceEducational Technology and PedagogyAI and Big Data ApplicationsOnline Learning and Analytics
Effect of Online and Offline Blended Teaching of College English Based on Data Mining Algorithm | Litcius