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The role of gestural polysigns and gestural sequences in teaching mathematical concepts

The case of halving

Bibliographic Data

ID21178651
AuthorsAlice Ovendale (University of Johannesburg, corresponding author), Heather Brookes (0000-0003-1210-9356, University of Cape Town), Jean-Marc Colletta (Université Grenoble Alpes), Zain Davis (University of Cape Town)
Year2018
Volume17
Issue1
Pages128-157
Publication date2018-10-19
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGesture (JOURNAL)
Journal identifiersISSN: 1568-1475 • E-ISSN: 1569-9773
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/gest.00013.ove
OpenAlexW2896409855
LanguageEN
Citations received2
References cited22

In this paper, we examine the conceptual pedagogical value of representational gestures in the context of teaching halving to first graders. We use the concept of the ‘polysign’ as an analytical tool and introduce the notion of a ‘mathematics gesture sequence’ to assess the conceptual role gestures play in explicating mathematical concepts. In our study of four teachers each teaching a lesson on halving, they produced representational polysign gestures that provided multiple layers of information, and chained these gestures in mathematical gestural sequences to spatially represent the operation of halving. Their use of gestures and their ability to use gestures accurately to convey mathematical concepts varied. During the lesson, learners, whose teachers used few representational gestures or used gestures that were conceptually incongruent with the mathematical concept, expressed more confusion than learners whose teachers used conceptually appropriate gestures. While confusion can be a productive part of the learning process, our analysis shows that producing conceptually appropriate gestures may be important in mediating concepts and the transition from concrete and personal symbolic processes to institutional mathematical signs

Confusion · Gesture · Linguistics · Communication · Computer Science · Hearing Impairment and Communication · Psychology · Artificial Intelligence

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Unique citing works2
Citations per year0.29
Citation span2019 - 2020 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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