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Conference Paper: Evaluating a general model of adaptive tutorial dialogues
Title | Evaluating a general model of adaptive tutorial dialogues |
---|---|
Authors | |
Keywords | Adaptive Tutorial Dialogues Constraint-Based Tutors Ill-Defined Tasks Well-Defined Tasks |
Issue Date | 2011 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2011, v. 6738 LNAI, p. 395-402 How to Cite? |
Abstract | Tutorial dialogues are considered as one of the critical factors contributing to the effectiveness of human one-on-one tutoring. We discuss how we evaluated the effectiveness of a general model of adaptive tutorial dialogues in both an ill-defined and a well-defined task. The first study involved dialogues in database design, an ill-defined task. The control group participants received non-adaptive dialogues regardless of their knowledge level and explanation skills. The experimental group participants received adaptive dialogues that were customised based on their student models. The performance on pre- and post-tests indicate that the experimental group participants learned significantly more than their peers. The second study involved dialogues in data normalization, a well-defined task. The performance of the experimental group increased significantly between pre- and post-test, while the improvement of the control group was not significant. The studies show that the model is applicable to both ill- and well-defined tasks, and that they support learning effectively. © 2011 Springer-Verlag Berlin Heidelberg. |
Persistent Identifier | http://hdl.handle.net/10722/179607 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Weerasinghe, A | en_US |
dc.contributor.author | Mitrovic, A | en_US |
dc.contributor.author | Thomson, D | en_US |
dc.contributor.author | Mogin, P | en_US |
dc.contributor.author | Martin, B | en_US |
dc.date.accessioned | 2012-12-19T10:00:10Z | - |
dc.date.available | 2012-12-19T10:00:10Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2011, v. 6738 LNAI, p. 395-402 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/179607 | - |
dc.description.abstract | Tutorial dialogues are considered as one of the critical factors contributing to the effectiveness of human one-on-one tutoring. We discuss how we evaluated the effectiveness of a general model of adaptive tutorial dialogues in both an ill-defined and a well-defined task. The first study involved dialogues in database design, an ill-defined task. The control group participants received non-adaptive dialogues regardless of their knowledge level and explanation skills. The experimental group participants received adaptive dialogues that were customised based on their student models. The performance on pre- and post-tests indicate that the experimental group participants learned significantly more than their peers. The second study involved dialogues in data normalization, a well-defined task. The performance of the experimental group increased significantly between pre- and post-test, while the improvement of the control group was not significant. The studies show that the model is applicable to both ill- and well-defined tasks, and that they support learning effectively. © 2011 Springer-Verlag Berlin Heidelberg. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.subject | Adaptive Tutorial Dialogues | en_US |
dc.subject | Constraint-Based Tutors | en_US |
dc.subject | Ill-Defined Tasks | en_US |
dc.subject | Well-Defined Tasks | en_US |
dc.title | Evaluating a general model of adaptive tutorial dialogues | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Thomson, D: dthomson@hku.hk | en_US |
dc.identifier.authority | Thomson, D=rp00788 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1007/978-3-642-21869-9_51 | en_US |
dc.identifier.scopus | eid_2-s2.0-79959302774 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-79959302774&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 6738 LNAI | en_US |
dc.identifier.spage | 395 | en_US |
dc.identifier.epage | 402 | en_US |
dc.publisher.place | Germany | en_US |
dc.identifier.scopusauthorid | Weerasinghe, A=14021787000 | en_US |
dc.identifier.scopusauthorid | Mitrovic, A=7003631144 | en_US |
dc.identifier.scopusauthorid | Thomson, D=7202586830 | en_US |
dc.identifier.scopusauthorid | Mogin, P=6508011064 | en_US |
dc.identifier.scopusauthorid | Martin, B=7402931502 | en_US |
dc.identifier.citeulike | 9989804 | - |
dc.identifier.issnl | 0302-9743 | - |