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A Case Study of Student Performance Predictions in English Course: The Data Mining Approach

  • Tran Duc Quynh,
  • Nguyen Doan Dong,
  • Nguyen Quang Thuan

摘要

Data mining techniques, by providing numerous insights, have been recently used and have improved many aspects of life, including education. Analyzing the students’ records and predicting their performance of students can bring a lot of benefits to the education system. As a university with special training programs such as training in English, dual degree education, and technology programs, International School—Vietnam National University, Hanoi, Vietnam is on the rise and will benefit from the application of data mining. In this paper, we conduct an analysis of the pre-English course performance of students at the International School with the aim of obtaining positive predictive results through appropriate data engineering, performing exploratory data analysis, and building predictive models of the students’ study time for the pre-English course. Therefore, the school can consider those as the reference for program adjustments.