Search
 
loader loading subjects...
cover
A Course Exam Scheduling Approach based on Data Mining
Vladimir Ivančević, Marko Knežević, Ivan Luković
132 - 141
10.3233/978-1-61499-405-3-132
Frontiers in Artificial Intelligence and Applications
Volume 262: Smart Digital Futures 2014
Abstract

We propose an exam scheduling approach to deal with problems that may appear in some oral exams, such as the cases when student turnout is considerably above or below expectation. As opposed to similar approaches, we focus on predicting the number of students applying for an exam by performing data mining on student records. Our predictive model considers previous student scores, attendance records, and past exam attempts. We evaluate the prediction segment of this approach on a real-world data set containing university records for a pair of database-related courses.

$35.00 / €27.50 / £22.00
Add PDF to cart