[Hung, Jui-Long; Shelton, Brett E.] Boise State Univ, Boise, ID 83725 USA.
[Yang, Juan; Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Hung, Jui-Long] B
Boise State Univ, Boise, ID 83725 USA.
语种：
英文
关键词：
Learning analytics;Academic at-risk factors;Academic success factors;Ensemble model
期刊：
Lecture Notes in Computer Science
ISSN：
0302-9743
年：
2018
卷：
11003
页码：
578-583
会议名称：
1st International Conference of Innovative Technologies and Learning (ICITL)
会议论文集名称：
Lecture Notes in Computer Science
会议时间：
AUG 27-30, 2018
会议地点：
Portoroz, SLOVENIA
会议主办单位：
[Shelton, Brett E.;Hung, Jui-Long] Boise State Univ, Boise, ID 83725 USA.^[Yang, Juan;Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
会议赞助商：
Natl Cheng Kung Univ, Kun Shan Univ, Natl Yunlin Univ Sci & Technol, Assoc Taiwan Engn Educ & Management, Univ Ljubljana
This study proposes an analytic approach which combines two predictive models (the predictive model of successful students and the predictive model of at-risk students) to enhance prediction performance for use under the constraints of limited data collection. A case study was conducted to examine the effects of the model combination approach. Eight variables were collected from a data warehouse and the Learning Management System. The best model was selected based on the lowest misclassification rate in the validation dataset. The confusion matrix compares the model's performance with the foll...
