Predictive modeling of student competency

Chiu, Bark-cheung. 1999, Predictive modeling of student competency, Ph.D. thesis, School of Computing and Mathematics, Deakin University.

Attached Files
Name Description MIMEType Size Downloads

Title Predictive modeling of student competency
Author Chiu, Bark-cheung.
Institution Deakin University
School School of Computing and Mathematics
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 1999
Keyword(s) Prediction of scholastic success - Mathematical models
Machine learning
Summary Explores how machine learning techniques can be used to build effective student modeling systems with constrained development and operational overheads, by integrating top-down and bottom-up initiatives. Emphasizes feature-based modelling.
Language eng
Description of original xii, 179 leaves : ill. ; 30 cm.
Dewey Decimal Classification 006.31
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 280 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 16:06:43 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact