A structural model of algebra achievement: computational fluency and spatial visualisation as mediators of the effect of working memory on algebra achievement

The goal of this study was to develop and evaluate a structural model of the relations among cognitive abilities and arithmetic skills and college students’ algebra achievement. The model of algebra achievement was compared to a model of performance on the Scholastic Assessment in Mathematics (SAT‐M) to determine whether the pattern of relations is similar for different types of higher level maths achievement. Structural equation modelling was used to test the effects of working memory, 3D spatial ability, and computational fluency on both types of higher order maths achievement. Computational fluency had the strongest effect on algebra achievement, with 3D spatial ability and working memory showing moderate effects. In contrast, 3D spatial ability had a stronger effect on SAT‐M scores than did computational fluency. Computational fluency and 3D spatial ability completely mediated the effect of working memory for both algebra and SAT‐M achievement.

[1]  K. Mardia Measures of multivariate skewness and kurtosis with applications , 1970 .

[2]  S. Vandenberg,et al.  Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization , 1978, Perceptual and motor skills.

[3]  L. R. Carry Psychology of Equation Solving: An Information Processing Study. Final Technical Report. , 1979 .

[4]  K. Mardia,et al.  Omnibus tests of multinormality based on skewness and kurtosis , 1983 .

[5]  D. Metzler,et al.  Mental rotation: effects of dimensionality of objects and type of task. , 1988, Journal of Experimental Psychology: Human Perception and Performance.

[6]  J. Fauvel Platonic Rhetoric in Distance Learning: How Robert Record Taught the Home Learner. , 1989 .

[7]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[8]  Carolyn Kieran Mathematics and Cognition: Cognitive Processes Involved in Learning School Algebra , 1990 .

[9]  J. H. Steiger Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[10]  C. Benbow,et al.  Enhanced problem translation and short-term memory: components of mathematical talent , 1990 .

[11]  Carolyn Kieran The learning and teaching of school algebra. , 1992 .

[12]  A. M. Gallagher,et al.  Sex Differences in Problem-Solving Strategies Used by High-Scoring Examinees on the SAT-M , 1992 .

[13]  D. Geary Mathematical disabilities: cognitive, neuropsychological, and genetic components. , 1993, Psychological bulletin.

[14]  A. Sfard,et al.  The gains and the pitfalls of reification — The case of algebra , 1994 .

[15]  J. Lehto Working Memory and School Achievement in the Ninth Form , 1995 .

[16]  L. Friedman The Space Factor in Mathematics: Gender Differences , 1995 .

[17]  Inhibitory Processes in Sequential Retrieval: Evidence from Variable-Lag Repetition Priming , 1996, Brain and Cognition.

[18]  Lyn English,et al.  Analogical reasoning and the development of algebraic abstraction , 1996 .

[19]  Teresa Rojano The Role of Problems and Problem Solving in the Development of Algebra , 1996 .

[20]  J. Mason Expressing Generality and Roots of Algebra , 1996 .

[21]  M. K. Heid A Technology-Intensive Functional Approach to the Emergence of Algebraic Thinking , 1996 .

[22]  Alan Bell,et al.  Problem-Solving Approaches to Algebra: Two Aspects , 1996 .

[23]  Claude Janvier Modeling and the Initiation into Algebra , 1996 .

[24]  R. Johnston,et al.  Children's arithmetical difficulties: contributions from processing speed, item identification, and short-term memory. , 1997, Journal of experimental child psychology.

[25]  M. Casey,et al.  Mediators of gender differences in mathematics college entrance test scores: a comparison of spatial skills with internalized beliefs and anxieties. , 1997, Developmental psychology.

[26]  Fürst Aj,et al.  The role of working memory in mental arithmetic. , 1998 .

[27]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[28]  R. Johnston,et al.  Exploring the roles of the visual‐spatial sketch pad and central executive in children's arithmetical skills: Views from cognition and developmental neuropsychology , 1999 .

[29]  James M. Royer,et al.  Math-Fact Retrieval as the Cognitive Mechanism Underlying Gender Differences in Math Test Performance. , 1999, Contemporary educational psychology.

[30]  Randall W Engle,et al.  Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. , 1999, Journal of experimental psychology. General.

[31]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[32]  James J. Kaput,et al.  Teaching and Learning a New Algebra with Understanding. , 2000 .

[33]  Mary K. Hoard,et al.  Sex differences in spatial cognition, computational fluency, and arithmetical reasoning. , 2000, Journal of experimental child psychology.

[34]  G. Scerif,et al.  Executive Functioning as a Predictor of Children's Mathematics Ability: Inhibition, Switching, and Working Memory , 2001, Developmental neuropsychology.

[35]  David A. Rettinger,et al.  How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. , 2001, Journal of experimental psychology. General.

[36]  Minna Reuhkala Mathematical Skills in Ninth-graders: Relationship with visuo-spatial abilities and working memory , 2001 .

[37]  N. Cowan The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[38]  David J. Therriault,et al.  A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence , 2002 .

[39]  A. Demetriou,et al.  The development of mental processing: efficiency, working memory, and thinking. , 2002, Monographs of the Society for Research in Child Development.

[40]  Klaus Oberauer,et al.  The multiple faces of working memory: Storage, processing, supervision, and coordination , 2003 .

[41]  Jeffrey J. Evans,et al.  Relations between measures of Cattell‐Horn‐Carroll (CHC) cognitive abilities and mathematics achievement across the school‐age years , 2003 .

[42]  Kerry Lee,et al.  Working memory and literacy as predictors of performance on algebraic word problems. , 2004, Journal of experimental child psychology.

[43]  S. Pickering,et al.  Working memory skills and educational attainment: evidence from national curriculum assessments at 7 and 14 years of age , 2004 .

[44]  R. Engle,et al.  The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning. , 2004, Journal of experimental psychology. General.

[45]  T. Senn,et al.  The Contribution of Executive Functions to Emergent Mathematic Skills in Preschool Children , 2004, Developmental neuropsychology.

[46]  James J. Kaput,et al.  Instructional Contexts That Support Students’ Transition From Arithmetic to Algebraic Reasoning: Elements of Tasks and Culture , 2004 .

[47]  Michael F. Bunting,et al.  Working memory span tasks: A methodological review and user’s guide , 2005, Psychonomic bulletin & review.

[48]  Jeannette R. Olson,et al.  Reliability and Criterion Validity of Four Revised Algebra Measures in Districts B and C , 2005 .

[49]  Richard P. Heitz,et al.  An automated version of the operation span task , 2005, Behavior research methods.

[50]  Nicole M. McNeil,et al.  Why won't you change your mind? Knowledge of operational patterns hinders learning and performance on equations. , 2005, Child development.

[51]  H. Swanson,et al.  Math Disabilities: A Selective Meta-Analysis of the Literature , 2006 .

[52]  L. Thompson,et al.  Predicting academic achievement with cognitive ability , 2007 .