Cukurova, M;
Mavrikis, M;
Luckin, R;
Clark, J;
Crawford, C;
(2017)
Interaction analysis in online maths human tutoring: The case of third space learning.
In: André, E and Baker, R and Hu, X and Rodrigo, M and du Boulay, B, (eds.)
International Conference on Artificial Intelligence in Education (AIED 2017): [Proceedings].
(pp. pp. 636-643).
Springer International Publishing: Cham, Switzerland.
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Abstract
This 'industry' paper reports on the combined effort of researchers and industrial designers and developers to ground the automatic quality assurance of online maths human-to-human tutoring on best practices. We focus on the first step towards this goal. Our aim is to understand the largely under-researched field of online tutoring, to identify success factors in this context and to model best practice in online teaching. We report our research into best practice in online maths teaching and describe and discuss our design and evaluation iterations towards annotation software that can mark up human-to-human online teaching interactions with successful teaching interaction signifiers.
Type: | Proceedings paper |
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Title: | Interaction analysis in online maths human tutoring: The case of third space learning |
Event: | AIED 2017: International Conference on Artificial Intelligence in Education, 28 June - 1 July 2017, Wuhan, China |
ISBN-13: | 9783319614243 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-319-61425-0_80 |
Publisher version: | https://doi.org/10.1007/978-3-319-61425-0_80 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Online tutoring, Annotation software, Best practice modeling |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
URI: | https://discovery.ucl.ac.uk/id/eprint/1566580 |
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