Abstract
Open learner models (OLM) are learner models which are accessible to the learner, allowing them to view, and sometimes modify, their model. This openness may raise questions of learner trust in their learner model: if users do not agree with, or trust the information they can see about themselves, their trust in the interaction will likely be reduced. Using a Wizard-of-Oz approach, we consider learner trust and possibilities for developing trust in OLMs. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Kerly, A., Ahmad, N., & Bull, S. (2008). Investigating learner trust in open learner models using a “Wizard of Oz” approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5091 LNCS, pp. 722–724). Springer Verlag. https://doi.org/10.1007/978-3-540-69132-7_89
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