Using Expertise Predictions to Facilitate Self-Regulated Learning

M. Hochmeister, J. Daxböck, J. Kay:
"Using Expertise Predictions to Facilitate Self-Regulated Learning";
Vortrag: 4th Workshop on Metacognition and Self-Regulated Learning in Educational Technologies, Chania, Greece; 14.06.2012 - 18.06.2012; in:"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", A. Weerasinghe, R. Azevedo, I. Roll, B. du Boulay (Hrg.); (2012), 4 S.

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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 thanthose 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.