Statistical implicative analysis of students' algebra performance

  • The data mining method of Statistical Implicative Analysis is used to reveal details of the inner structure of algebraic competence as seen in data collected from beginning algebra students as part of the development of the SMART online diagnostic tests. The implicative analysis of the data shows the logical relation between algebraic sub-competencies. This paper reports item level analysis, comparing different cut-off levels for implication intensity, and a follow-up analysis of scales constructed from the clusters revealed. Finally in a novel application of statistical implicative analysis, the paper identifies pairs of scales that together imply an outcome, but do not do so separately. This allows the identification of abilities that are necessary foundations for other parts of algebraic proficiency.

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Metadaten
Author:Reinhard OldenburgORCiDGND, Kaye Stacey
URN:urn:nbn:de:bvb:384-opus4-1138388
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113838
ISSN:2632-3834OPAC
Parent Title (English):Qeios
Publisher:Qeios
Place of publication:London
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/07/03
First Page:FL8ENG
DOI:https://doi.org/10.32388/fl8eng
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Didaktik der Mathematik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)