Using Data Mining Models to Predict Students' Academic Performance before the Online Course Start
- Resource Type
- Journal Articles
Reports - Research
Information Analyses
- Authors
- Xu, Tonghui
- Source
- Journal of Educators Online. Jan 2023 20(1).
- Subject
- College Students
Online Courses
Academic Achievement
Data Analysis
Information Retrieval
Pattern Recognition
Models
Prediction
Interaction
Success
Algorithms
Student Behavior
Time Factors (Learning)
- Language
- English
- ISSN
- 1547-500X
The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data to predict their academic performance. In this study, this interaction information is called "week 0" data. The results suggest that "week 0" interaction data can be used to identify the academic success of online students and predict first assignment performance.