eprintid: 2463
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/24/63
datestamp: 2023-11-09 15:50:41
lastmod: 2023-11-09 15:50:41
status_changed: 2023-11-09 15:43:35
type: conference_item
metadata_visibility: show
creators_name: Chen, Y.Y.
creators_name: Mohd Taib, S.
creators_name: Che Nordin, C.S.
title: Determinants of student performance in advanced programming course
ispublished: pub
keywords: Academic performance; Course management systems; Educational data mining; Educational settings; Predictive models, Forecasting; Information management; Internet; Teaching, Students
note: 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
abstract: 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.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876184575&partnerID=40&md5=52101c388f9ad2886fe1c1858acfce79
full_text_status: none
publication: 2012 International Conference for Internet Technology and Secured Transactions, ICITST 2012
place_of_pub: London
pagerange: 304-307
refereed: TRUE
isbn: 9781908320087
citation:   Chen, Y.Y. and Mohd Taib, S. and Che Nordin, C.S.  (2012) Determinants of student performance in advanced programming course.  In: UNSPECIFIED.