title: Abstract numeric relations and the visual structure of algebra.
abstract: Formal algebras are among the most powerful and general mechanisms for expressing quantitative relational statements; yet, even university engineering students, who are relatively proficient with algebraic manipulation, struggle with and often fail to correctly deploy basic aspects of algebraic notation (Clement, 1982). In the cognitive tradition, it has often been assumed that skilled users of these formalisms treat situations in terms of semantic properties encoded in an abstract syntax that governs the use of notation without particular regard to the details of the physical structure of the equation itself (Anderson, 2005; Hegarty, Mayer, & Monk, 1995). We explore how the notational structure of verbal descriptions or algebraic equations (e.g., the spatial proximity of certain words or the visual alignment of numbers and symbols in an equation) plays a role in the process of interpreting or constructing symbolic equations. We propose in particular that construction processes involve an alignment of notational structures across representation systems, biasing reasoners toward the selection of formal notations that maintain the visuospatial structure of source representations. For example, in the statement "There are 5 elephants for every 3 rhinoceroses," the spatial proximity of 5 and elephants and 3 and rhinoceroses will bias reasoners to write the incorrect expression 5E = 3R, because that expression maintains the spatial relationships encoded in the source representation. In 3 experiments, participants constructed equations with given structure, based on story problems with a variety of phrasings. We demonstrate how the notational alignment approach accounts naturally for a variety of previously reported phenomena in equation construction and successfully predicts error patterns that are not accounted for by prior explanations, such as the left to right transcription heuristic.
authors.affiliation: Department of Psychological and Brain Sciences, Indiana University.
authors.forename: David
authors.initials: D
authors.lastname: Landy
authors.affiliation: Department of Physics, Florida International University.
authors.forename: David
authors.initials: D
authors.lastname: Brookes
authors.affiliation: Department of Psychology, University of Richmond.
authors.forename: Ryan
authors.initials: R
authors.lastname: Smout
mesh_terms: D000328:Adult; D003071:Cognition / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008433:Mathematics; D011340:Problem Solving / Q000502:physiology*