Data Mining Technology-Based English Listening Prediction Strategy and Its Training Approach

Abstract

The big data era of “data-driven schools, analysis, and change education” has arrived, and the technology of data mining was born in the education industry. Based on data mining technology, this study explores English listening prediction strategies and training approaches. Prediction is an effective learning strategy in listening comprehension. Cultivating students to use predictive strategies is helpful to improve their listening comprehension, mining and analyzing the listening data generated by English skill training system, selecting the data related to students’ listening as features, aiming at students’ test listening scores, carrying out model training, and realizing the prediction of students’ listening. After evaluation and analysis, it is found that data mining technology can be used to predict students’ listening more accurately.

English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention

“…Students' listening test scores are simulated and trained to predict students' listening. Evaluation and analysis show that data mining techniques can more accurately predict students' listening [10]. Data mining algorithms mainly include the k-means algorithm, support vector machine (SVM) algorithm, decision tree model, and Bayesian model.…”

English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention

“…Data mining and learning analytics technology are used to establish relevant systems to extract and standardize it and offer an appropriate framework for making decisions for the most effective possible implementation of the networked learning and management procedures [9]. Additionally, Zhu (2022) considered that the data-driven schools, assessment and educational improvement, prompted by arrived big data. The field of education gave rise to data mining techniques.…”

“…To predict children's listening, listening assessments from prior learners are utilized and presented. Analysis and evaluation demonstrate that data mining methods can effectively predict students' listening skills [10]. The K-means, support vector machine (SVM), decision tree, and Bayesian models are the four primary methods used in data mining.…”

Retracted: Data Mining Technology-Based English Listening Prediction Strategy and Its Training Approach

“…Security and Communication Networks has retracted the article titled "Data Mining Technology-Based English Listening Prediction Strategy and Its Training Approach" [1] due to concerns that the peer review process has been compromised.…”