TY  - CONF
KW  - Academic performance; Course management systems; Educational data mining; Educational settings; Predictive models
KW  -  Forecasting; Information management; Internet; Teaching
KW  -  Students
SN  - 9781908320087
A1  - Chen, Y.Y.
A1  - Mohd Taib, S.
A1  - Che Nordin, C.S.
SP  - 304
AV  - none
N1  - cited By 8; Conference of 7th International Conference for Internet Technology and Secured Transactions, ICITST 2012 ; Conference Date: 10 December 2012 Through 12 December 2012; Conference Code:96569
Y1  - 2012///
TI  - Determinants of student performance in advanced programming course
N2  - Educators often monitor students' performance in class to make students aware of their weaknesses. Analysis on the relationship between educational settings and student performance can be useful in predicting student performance in a class. In addition, this analysis is able to help identifying the key indicators that may affect the students' final grade. In this paper, we present the initial work on the development of a predictive model that can predict student performance in a class to assist lecturers in improving student's learning process. We identified the predictor variables that can be used in our predictive model. The predictor variables of this model are based on attributes from different educational settings such as coursework marks, psychosocial factors and Course Management System (CMS) log data. These variables are collected from an advanced programming course in an institute of higher learning in Malaysia. This study provides a theoretical model that shows how data from different educational settings can contribute in the prediction of student's final grade. The results indicate that coursework marks has the most significant positive relationship with the student's final grade followed by total number of materials downloaded from CMS. © 2012 Infonomics Society.
ID  - scholars2463
EP  - 307
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876184575&partnerID=40&md5=52101c388f9ad2886fe1c1858acfce79
CY  - London
ER  -