A Case Study of Education Data Mining Based on WEKA

摘要：

　　This paper selects research cases from Journals and tries to improve the research of predecessors through WEKA data mining.Based on the research of Godwin,K.E.,this research generates simulation data which corresponding to the key variables in the case,and using WEKAto impliment data mining and data analysis to predict the off-task behavior of students.Through feature screening,model training and evaluation,and visual analysis of results,the final model yielded the best model accuracy of 69.71%.The results show that WEKA data mining can verify the relationship between gender,the types of teaching activities,the transformation of teaching activities,the duration of teaching activities and the ontask behavior of students,and with this approach,teachers can predict the ontask behavior and also improve their instructional design.

关键词： Educational data Data mining Learning Analysis Prediction Analysis

作者: Yifeng QIN Zongbing MA Ziyang GU

作者单位: South China Normal University Guangzhou,China

会议类型: 国际会议

会议名称: 17th International for Media in Education & Artificial intelligence in Education Symposium (第17届国际媒体与教育大会)

会议地点: 深圳

会议语种:英文

页码: 382-391

在线出版日期: 2019-07-23（万方平台首次上网日期，不代表论文的发表时间）