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The Journal of Mathematical Behavior
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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The Journal of Mathematical Behavior
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Backward transfer influences from quadratic functions instruction on students’ prior ways of covariational reasoning about linear functions

Authors: Charles Hohensee; Sara Gartland; Laura Willoughby; Matthew Melville;

Backward transfer influences from quadratic functions instruction on students’ prior ways of covariational reasoning about linear functions

Abstract

Abstract The study reported in this article examined the ways in which new mathematics learning influences students’ prior ways of reasoning. We conceptualize this kind of influence as a form of transfer of learning called backward transfer. The focus of our study was on students’ covariational reasoning about linear functions before and after they participated in a multi-lesson instructional unit on quadratic functions. The subjects were 57 students from two authentic algebra classrooms at two local high schools. Qualitative analysis suggested that quadratic functions instruction did influence students’ covariational reasoning in terms of the number of quantities and the level of covariational reasoning they reasoned with. These results further the field’s understanding of backward transfer and could inform how to better support students’ abilities to engage in covariational reasoning.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
hybrid