188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
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Using Expertise Predictions to Facilitate Self-Regulated Learning

Type: 
Speech with CD or web proceedings
Abstract: 
The self-awareness of the breadth and depth of one´s exper- tise is crucial for self-regulated learning. We propose an interface using predicted expertise scores that assists learners in reflecting their exper- tise. The preliminary study results show that learner models from partic- ipants using our interface are significantly larger in size than those of the control group. The results also indicate that the interface may encourage learners to equally think about their strengths and weaknesses. In addi- tion, participants´ feedback suggests an increased motivation regarding the task of self-assessment.
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
Proceedings: 
Proceedings of the 4th Workshop on Metacognition and Self-Regulated Learning in Educational Technologies in conjunction with the 11th International Conference on Intelligent Tutoring Systems (ITS) 2012
Publisher: 
Year: 
2012
ISBN: 
Pages: 
Accepted: 
Acceptance undecided
Invited: 
Reference: 
<u>M. Hochmeister</u>, J. Daxböck, J. Kay: <br>"<i>Using Expertise Predictions to Facilitate Self-Regulated Learning</i>"; <br>Talk: 4th Workshop on Metacognition and Self-Regulated Learning in Educational Technologies, Chania, Greece; 06-14-2012 - 06-18-2012; in: "<i>Proceedings of the 4th Workshop on Metacognition and Self-Regulated Learning in Educational Technologies in conjunction with the 11th International Conference on Intelligent Tutoring Systems (ITS) 2012</i>", A. Weerasinghe, R. Azevedo, I. Roll, B. du Boulay (ed.); (2012), 4 pages.<br><br> <a href="https://publik.tuwien.ac.at/showentry.php?ID=209939&lang=2" class="publist"><i>More information</i></a><br><br>
Abstract German: