Functions represented as linear sequential data: relationships between presentation and student responses

This study investigates students’ ways of attending to linear sequential data in two tasks, and conjectures possible relationships between those ways and elements of the task design. Drawing on the substantial literature about such situations, we focus for this paper on linear rate of change, and on covariation and correspondence approaches to linear data. Data sources included a survey instrument of six tasks that was developed in collaboration with a group of teachers, and the tasks for this paper are two concerned with linear functions. The whole survey was given to 20 students from each of UK years 7–11 and 10 students from each year 12–13 (total of 120 students). Our analytical approach was to identify what all students appear to do, not how correct they were or what pre-determined methods they might use. Our analysis uses theories of dual-process and dynamic graded continuum to suggest conjectures about how students’ capabilities in acting with sequential data depend to some extent on task features, as well as on curriculum and pedagogy.

[1]  James J. Kaput,et al.  Algebra in the early grades , 2008 .

[2]  Michael Yerushalmy Designing Representations: Reasoning About Functions of Two Variables , 1997 .

[3]  David Slavit,et al.  An Alternate Route to the Reification of Function , 1997 .

[4]  Raymond Duval A Cognitive Analysis of Problems of Comprehension in a Learning of Mathematics , 2006 .

[5]  D. Kahneman,et al.  Representativeness revisited: Attribute substitution in intuitive judgment. , 2002 .

[6]  Lieven Verschaffel,et al.  Proportional reasoning as a heuristic-based process: time constraint and dual task considerations. , 2009, Experimental psychology.

[7]  James J. Kaput,et al.  Functional Thinking as a Route Into Algebra in the Elementary Grades , 2011 .

[8]  Robyn Pierce,et al.  Revealing educationally critical aspects of rate , 2012 .

[9]  L. Radford Iconicity and contraction: a semiotic investigation of forms of algebraic generalizations of patterns in different contexts , 2008 .

[10]  Shlomo Vinner The Pseudo-Conceptual and the Pseudo-Analytical Thought Processes in Mathematics Learning , 1997 .

[11]  Uri Leron,et al.  Intuitive vs analytical thinking: four perspectives , 2009, The Best Writing on Mathematics 2010.

[12]  P. Cowan National Curriculum for mathematics , 2006 .

[13]  G. Harel,et al.  The Role of Teachers’ Knowledge of Functions in Their Teaching: A Conceptual Approach With Illustrations From Two Cases , 2013 .

[14]  Ed Dubinsky,et al.  The Concept of Function: Aspects of Epistemology and Pedagogy [MAA Notes, Volume 25] , 1992 .

[15]  Patrick W Thompson,et al.  Images of Rate and Operational Understanding of the Fundamental Theorem of Calculus , 1994 .

[16]  Mara V. Martinez,et al.  Early algebra and mathematical generalization , 2008 .

[17]  Jonathan Evans,et al.  Rationality and reasoning , 1996 .

[18]  D. Kahneman,et al.  Heuristics and Biases: The Psychology of Intuitive Judgment , 2002 .

[19]  Jere Confrey,et al.  Exponential functions, rates of change, and the multiplicative unit , 1994 .

[20]  Ferdinand Rivera,et al.  Middle school children’s cognitive perceptions of constructive and deconstructive generalizations involving linear figural patterns , 2008 .

[21]  David Tall,et al.  Concept image and concept definition in mathematics with particular reference to limits and continuity , 1981 .

[22]  Michal Yerushalmy,et al.  Student perceptions of aspects of algebraic function using multiple representation software , 1991 .

[23]  L. Verschaffel,et al.  Dual Processes in the Psychology of Mathematics Education and Cognitive Psychology , 2009, Human Development.

[24]  S. Epstein Integration of the cognitive and the psychodynamic unconscious. , 1994, The American psychologist.

[25]  Kaye Stacey,et al.  Finding and using patterns in linear generalising problems , 1989 .

[26]  J. Confrey,et al.  Splitting, covariation, and their role in the development of exponential functions , 1995 .

[27]  W. Dörfler,et al.  En route from patterns to algebra: comments and reflections , 2008 .

[28]  Lyn D. English,et al.  Introducing the Variable through Pattern Exploration. , 1998 .

[29]  Gaea Leinhardt,et al.  Functions, Graphs, and Graphing: Tasks, Learning, and Teaching , 1990 .

[30]  E. Fischbein,et al.  Intuition in science and mathematics , 1987 .

[31]  Ruhama Even,et al.  Factors involved in linking representations of functions , 1998 .

[32]  Marilyn P. Carlson,et al.  Applying Covariational Reasoning While Modeling Dynamic Events: A Framework and a Study. , 2002 .

[33]  Mark Wilson,et al.  Validating a Learning Progression in Mathematical Functions for College Readiness , 2011 .

[34]  Uri Leron,et al.  The Rationality Debate: Application of Cognitive Psychology to Mathematics Education , 2006 .

[35]  M. Osman An evaluation of dual-process theories of reasoning , 2004, Psychonomic bulletin & review.

[36]  A. Orton,et al.  Students' understanding of differentiation , 1983 .

[37]  Diana F. Steele,et al.  Seventh-grade students’ representations for pictorial growth and change problems , 2008 .

[38]  Z. Mevarech,et al.  From verbal descriptions to graphic representations: Stability and change in students' alternative conceptions , 1997 .

[39]  Vadim Andreevich Krutet︠s︡kiĭ The Psychology of Mathematical Abilities in Schoolchildren , 1976 .