Computing solutions to algebraic problems using a symbolic versus a schematic strategy.

Autor/inn/en	Lee, Kerry; Yeong, Stephanie H.M.; Ng, Swee Fong; Venkatraman, Vinod; Graham, Steven; Chee, Michael W.L.
Titel	Computing solutions to algebraic problems using a symbolic versus a schematic strategy.
Quelle	In: ZDM : mathematics education, 42 (2010) 6, S. 591-605 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	1863-9690; 1863-9704
DOI	10.1007/s11858-010-0265-6
Schlagwörter	Erziehungslehre; Empirische Untersuchung; Arbeitsgedächtnis; Kognitive Entwicklung; Neurowissenschaften; Algebra; Mathematikunterricht; Textaufgabe
Abstract	To improve access to algebraic word problems, primary aged students in Singapore are taught to utilise schematic models. Symbolic algebra is not taught until the secondary school years. To examine whether the two methods drew on different cognitive processes and imposed different cognitive demands, we used functional magnetic resonance imaging to examine patterns of brain activation whilst problem solvers were using the two methods. To improve our ability to detect differences attributable to the two methods, rather than participant's abilities to use the two methods, we used adult problem solvers who had high levels of competency in both methods. In a previous study, we focused on the initial stages of problem solving: translating word problems into either schematic or symbolic representations (Lee et al. in Brain Res 1155:163-171, 2007). In this study, we focused on the later stages of problem solving: in computing numeric solutions from presented schematic or symbolic representations. Participants were asked to solve simple algebraic questions presented in either format. Greater activation in the symbolic method was found in the middle and medial frontal gyri, anterior cingulate, caudate, precuneus, and intraparietal sulcus. Greater activation in the model condition was found largely in the occipital areas. These findings suggest that generating and computing solutions from symbolic representations require greater general cognitive and numeric processing resources than do processes involving model representations. Differences between the two methods appear to be of both a quantitative and qualitative nature.
Erfasst von	FIZ Karlsruhe - Leibniz-Institut für Informationsinfrastruktur
Update	2011/2