Evaluation of the College English Flipped Classroom Teaching Model Based on Data Mining Algorithms

Abstract

Aiming at the problem of the inability to classify data due to the excessive amount of teaching resources, which leads to the college English flipped classroom teaching model’s low resource sharing rate and the poor accuracy of score statistical analysis, a university-based data mining algorithm is designed. Research on the evaluation of english flipped classroom teaching model is conducted, the strategy of applying the flipped classroom in college English teaching is analyzed, the characteristics and advantages of this model are explored, the data mining algorithm to practical teaching is applied, and the decision tree C4.5 classification technology is used to achieve accurate classification of massive student test scores. The classification technology selects classification attributes based on the information gain rate. It uses the postpruning method to process data to improve the accuracy of data classification. Finally, the statistical analysis results of the business logic layer are transmitted to the user through the browser application layer using the WEB server. The experimental results show that using this article’s evaluation method, the college English flipped classroom teaching model can achieve a high resource sharing rate, high accuracy of performance statistics analysis, and a good teaching effect.

College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment

“…Xiang developed the second language writing method of "thelengthapproach," which is based on Swain's (1985,1995) theory of comprehensible output hypothesis. Learners test their target sentence structure and word use through language productive use (i.e., writing and speaking) [14]. The data of GE's reform experiment in English Language Teaching shows that it pays too much attention to input, but ignores the function of language output, and the length-writing method based on output can greatly improve English level.…”

Performance Evaluation of the Application of Smart Flipped Classroom in Classroom Guided Teaching

“…In the teaching-guided classroom, students mainly ask questions, discuss, cooperate and solve problems with each other, allowing them to feel the charm of teaching-guided classroom and smart flipped classroom and improve their academic performance. This is shown in the many studies focusing on the role and application effect of smart flipped classroom in collegiate-level flipped classroom teaching mode, poor accuracy of the statistical analysis of scores, and virtually non-existent classification of data due to excessive teaching resources, Xiang [1] proposed an evaluation algorithm of collegiate English flipped classroom teaching mode using data mining.…”

Digital Technology Boosts the Construction of English Smart Classroom in Colleges and Universities

“…Literature [13] explored the process of digital storytelling (DST) in the flipped classroom by prospective English education teachers (PEETs), which was found to be inspiring and challenging while entertaining at the same time. Literature [14] proposes a method for assessing the flipped classroom teaching model based on data mining techniques to deal with the problem of low levels of sharing due to too many teaching resources and the model's poor categorization ability. Literature [15] verified that students' participation in formal digital English language learning (IDLE) practices positively affects the perception of English as an International Language (EIL) based on structural equation modeling.…”