Openly accessible

Intelligent model-based feedback: helping students to monitor their individual learning progress

Ifenthaler, Dirk 2012, Intelligent model-based feedback: helping students to monitor their individual learning progress. In Graf, Sabine, Lin, Fuhua, Kinshuk, and McGreal, Rory (ed), Intelligent and adaptive learning systems: technology enhanced support for learners and teachers, IGI Global, Hershey, Pa., pp.88-100, doi: 10.4018/978-1-60960-842-2.ch006.

Attached Files
Name Description MIMEType Size Downloads
ifenthaler-intelligentmodelbasedfeedback-2012.pdf Published version application/pdf 1.01MB 14

Title Intelligent model-based feedback: helping students to monitor their individual learning progress
Author(s) Ifenthaler, Dirk
Title of book Intelligent and adaptive learning systems: technology enhanced support for learners and teachers
Editor(s) Graf, Sabine
Lin, Fuhua
Kinshuk,
McGreal, Rory
Publication date 2012
Chapter number 6
Total chapters 21
Start page 88
End page 100
Total pages 13
Publisher IGI Global
Place of Publication Hershey, Pa.
Keyword(s) learning progress
feedback models
text-guided automated self assessment (TASA)
instant graphical feedback (iGRAF)
ISBN 1609608437
9781609608439
Language eng
DOI 10.4018/978-1-60960-842-2.ch006
Indigenous content off
Field of Research 139999 Education not elsewhere classified
Socio Economic Objective 970113 Expanding Knowledge in Education
HERDC Research category B1.1 Book chapter
Copyright notice ©2012, IGI Global
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30060564

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

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 drosupport@deakin.edu.au.

Versions
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: 107 Abstract Views, 14 File Downloads  -  Detailed Statistics
Created: Tue, 18 Feb 2014, 13:02:20 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 drosupport@deakin.edu.au.