TY - GEN
T1 - Student performance estimation based on topic models considering a range of lessons
AU - Sorour, Shaymaa E.
AU - Goda, Kazumasa
AU - Mine, Tsunenori
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - This paper proposes a prediction framework for student performance based on comment data mining. Given the comments containing multiple topics, we seek to discover the topics that help to predict final student grades as their performance. To this end, the paper proposes methods that analyze students’ comments by two topic models: Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA). The methods employ Support Vector Machine (SVM) to generate prediction models of final student grades. In addition, Considering the student grades predicted in a range of lessons can deal with prediction error occurred in each lesson, and achieve further improvement of the student grade prediction.
AB - This paper proposes a prediction framework for student performance based on comment data mining. Given the comments containing multiple topics, we seek to discover the topics that help to predict final student grades as their performance. To this end, the paper proposes methods that analyze students’ comments by two topic models: Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA). The methods employ Support Vector Machine (SVM) to generate prediction models of final student grades. In addition, Considering the student grades predicted in a range of lessons can deal with prediction error occurred in each lesson, and achieve further improvement of the student grade prediction.
UR - http://www.scopus.com/inward/record.url?scp=84949035234&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949035234&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19773-9_117
DO - 10.1007/978-3-319-19773-9_117
M3 - Conference contribution
AN - SCOPUS:84949035234
SN - 9783319197722
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 790
EP - 793
BT - Artificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings
A2 - Conati, Cristina
A2 - Heffernan, Neil
A2 - Mitrovic, Antonija
A2 - Felisa Verdejo, M.
PB - Springer Verlag
T2 - 17th International Conference on Artificial Intelligence in Education, AIED 2015
Y2 - 22 June 2015 through 26 June 2015
ER -