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dc.contributor.authorWartschinski, Laura
dc.contributor.authorLe, Nguyen-Thinh
dc.contributor.authorPinkwart, Niels
dc.contributor.editorIgel, Christoph
dc.contributor.editorUllrich, Carsten
dc.contributor.editorWessner Martin
dc.date.accessioned2017-10-05T22:32:14Z
dc.date.available2017-10-05T22:32:14Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-667-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/4848
dc.description.abstractHuman reasoning is the ability to make sound and goal-oriented decisions and is therefore highly relevant in daily life. However, its importance has not yet been addressed explicitly in education. In this paper, we propose to develop a computer-based conversational agent named Liza for improving human reasoning skills. Liza is able to hold conversations with humans to help them solve a small selection of well-studied reasoning problems. Such a conversational agent allows a much more scalable and inexpensive approach for teaching at least basic reasoning principles. The evaluation study shows that the conversational agent Liza improved the reasoning skills of the participants, who had conversations with the agent to solve reasoning problems and that the group using Liza achieved much better learning effects than a group studying with a non-interactive online course that was implemented as a control condition.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBildungsräume 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-273
dc.subjecthuman reasoning education
dc.subjectpedagogical agent
dc.subjectdialogue system
dc.subjectnatural language processing
dc.subjectheuristics and biases
dc.titleA Conversational Agent for the Improvement of Human Reasoning Skillsen
mci.reference.pages249-260
mci.conference.locationChemnitz
mci.conference.date05.-08.09.2017


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