Paper Info
Title
Predicting school performance and early risk of failure from an intelligent tutoring system
Abstract
In many rural Indian schools, English is a second language for teachers and students. Intelligent tutoring systems have good potential because they enable students to learn at their own pace, in an exploratory manner. This paper describes a 3-year longitudinal study of 2123 Indian students who used the intelligent tutoring system, AmritaITS. The aim of the study was to use the students' interaction logs with AmritaITS to: (1) predict student performance, in English and Mathematics subjects, via summative and formative assessments, (2) predict students who may be at risk of failing the final examination and (3) screen students who may have reading difficulties. The prediction models for summative assessments were significantly improved by formative assessments scores, along with AmritaITS logs. The receiver operating characteristic (ROC) curve showed that students at risk of failing a class could be identified early, with high sensitivity and specificity. The models also provide recommendations for the amount of time required for students to use the system, and reach the appropriate grade level. Finally, the models demonstrated promise in identifying students who might be at risk of suffering from reading difficulties.
Year
DOI
Venue
2020
10.1007/s10639-020-10144-0
EDUCATION AND INFORMATION TECHNOLOGIES
Keywords
DocType
Volume
Intelligent tutoring system,Student performance,Reading difficulties,Longitudinal analysis,Rural education
Journal
25.0
Issue
ISSN
Citations 
5.0
1360-2357
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Mithun Haridas100.34
Georg Gutjahr200.34
Raghu Raman3299.66
Rudraraju Ramaraju400.34
Prema Nedungadi53313.10