The book presents the findings of our work that investigated the effects of visual representations on learning and teaching of abstract concepts. Our work compared two first year linear algebra classes; one is traditional group and the other is experimental group who used the geometric representations of basic abstract linear algebra concepts. We documented differences in student understanding of vector space concepts, and consequently, evaluated the strength and weakness of both approaches. The experimental group performed significantly better than the traditional group in tasks involving only conceptual knowledge. The most noticeable differences in understanding were found in applying basic vector space concepts to linear transformations, and in finding bases for subspaces by recognizing vectors as the objects of subspaces. No significant evidence was found to support the belief that the experimental group performed less well than the traditional group in questions that required procedural knowledge.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The book presents the findings of our work that investigated the effects of visual representations on learning and teaching of abstract concepts. Our work compared two first year linear algebra classes; one is traditional group and the other is experimental group who used the geometric representations of basic abstract linear algebra concepts. We documented differences in student understanding of vector space concepts, and consequently, evaluated the strength and weakness of both approaches. The experimental group performed significantly better than the traditional group in tasks involving only conceptual knowledge. The most noticeable differences in understanding were found in applying basic vector space concepts to linear transformations, and in finding bases for subspaces by recognizing vectors as the objects of subspaces. No significant evidence was found to support the belief that the experimental group performed less well than the traditional group in questions that required procedural knowledge.
Hamide Dogan-Dunlap is an Associate Professor of mathematics at UTEP. Her primary research interest is on undergraduate mathematics education with particular attention given to abstract thinking in upper division mathematics courses such as linear algebra and analysis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book presents the findings of our work that investigated the effects of visual representations on learning and teaching of abstract concepts. Our work compared two first year linear algebra classes; one is traditional group and the other is experimental group who used the geometric representations of basic abstract linear algebra concepts. We documented differences in student understanding of vector space concepts, and consequently, evaluated the strength and weakness of both approaches. The experimental group performed significantly better than the traditional group in tasks involving only conceptual knowledge. The most noticeable differences in understanding were found in applying basic vector space concepts to linear transformations, and in finding bases for subspaces by recognizing vectors as the objects of subspaces. No significant evidence was found to support the belief that the experimental group performed less well than the traditional group in questions that required procedural knowledge. N° de réf. du vendeur 9783639089943
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Taschenbuch. Etat : Neu. Linear Algebra Teaching and Learning | Visualization | Hamide Dogan-Dunlap | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639089943 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. N° de réf. du vendeur 101708387
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