Emerging insights from the evolving framework of structural abstraction

ion seems to have gained a bad reputation because of the criticism articulated by the situated cognition (or situated learning) paradigm, and, as a consequence, has almost disappeared. This criticism rests primarily on traditional approaches considering abstraction as decontextualization and often confusing abstraction with generalization. The recent contribution by Fuchs et al. (2003) shows that such classical approaches to abstraction still exist: “To abstract a principle is to identify a generic quality or pattern across instances of the principle. In formulating an abstraction, an individual deletes details across exemplars, which are irrelevant to the abstract category [...]. These abstractions [...] avoid contextual specificity so they can be applied to other instances or across situations.” (p. 294) However, scholars in mathematics education argued against the decontextualization view of abstraction. Van Oers (1998, 2001), for instance, argued that removing context must impoverish a concept rather than enrich it. Several other scholars have reconsidered and advanced our understanding of abstraction in ways that account for the situated nature of knowing and learning in mathematics. Noss and Hoyles (1996) introduced the notion of situated abstraction to describe “how learners construct mathematical ideas by drawing on the webbing of a particular setting which, in turn, shapes the way the ideas are expressed” (p. 122). Webbing in this sense means “the presence of a structure that learners can draw up and reconstruct for support – in ways that they can choose as appropriate for their struggle to construct meaning for some mathematics (Noss & Hoyles, 1996, p. 108). Hershkowitz, Schwarz, and Dreyfus (2001) introduced the notion of abstraction in context that they presented as “an activity of vertically reorganizing previously constructed mathematics into new mathematical structure” (p. 202). They identify abstraction in context with what Treffers (1987) described as ‘vertical mathematization’ and propose entire mathematical activity as the unity of analysis. These contributions demonstrate that research on abstraction in knowing and learning mathematics has made significant progress in taking account of the context-sensitivity of knowledge. Several other contributions shape the territory in mathematics education research on abstraction. Scheiner (2016) proposed a distinction between two forms of abstraction, namely abstraction on actions and abstraction on objects. This distinction has been further refined in Scheiner and Pinto (2014) arguing that the focus of attention of each form of abstraction takes place on physical objects (referring to the real world) or mental objects (referring to the thought world) (see Fig. 1). abstraction on actions abstraction on objectsion on actions abstraction on objects

[1]  B. Schwarz,et al.  Abstraction in Context: Epistemic Actions , 2001 .

[2]  Steven R. Williams Models of Limit Held by College Calculus Students. , 1991 .

[3]  R. B. Davis,et al.  The Notion of Limit: Some Seemingly Unavoidable Misconception Stages. , 1986 .

[4]  Draga Vidakovic,et al.  Understanding the limit concept: Beginning with a coordinated process scheme , 1996 .

[5]  David Tall,et al.  How Humans Learn to Think Mathematically: Exploring the Three Worlds of Mathematics , 2013 .

[6]  Thorsten Scheiner New light on old horizon: Constructing mathematical concepts, underlying abstraction processes, and sense making strategies , 2016 .

[7]  R. Skemp The psychology of learning mathematics , 1979 .

[8]  Marja van den Heuvel-Panhuizen,et al.  The didactical Use of Models in Realistic Mathematics Education : An Example from a Longitudinal Trajectory on Percentage , 2003 .

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

[10]  D. Tall How Humans Learn to Think Mathematically: The Historical Evolution of Mathematics , 2013 .

[11]  Vierteljahrsschrift für wissenschaftliche Philosophie , 1994 .

[12]  Celia Hoyles,et al.  Windows on Mathematical Meanings: Learning Cultures and Computers , 1996 .

[13]  Malgorzata Przenioslo,et al.  Images of the limit of function formed in the course of mathematical studies at the university , 2004 .

[14]  Thorsten Scheiner,et al.  Making sense of students' sense making through the lens of the structural abstraction framework , 2016 .

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

[16]  Lynn S. Fuchs,et al.  Explicitly Teaching for Transfer: Effects on Third-Grade Students' Mathematical Problem Solving. , 2003 .

[17]  U. Wilensky Abstract Meditations on the Concrete and Concrete Implications for Mathematics Education , 1991 .

[18]  Ed Dubinsky,et al.  Reflective Abstraction in Advanced Mathematical Thinking , 2002 .

[19]  Paul White,et al.  Abstraction in mathematics learning , 2007 .

[20]  A. diSessa Why “Conceptual Ecology” is a Good Idea , 2002 .

[21]  Thorsten Scheiner,et al.  Cognitive processes underlying mathematical concept construction: The missing process of structural abstraction , 2014 .

[22]  A. Sfard On the dual nature of mathematical conceptions: Reflections on processes and objects as different sides of the same coin , 1991 .

[23]  Marcia Maria Fusaro Pinto Students' understanding of real analysis , 1998 .

[24]  A. Treffers Three Dimensions: A Model of Goal and Theory Description in Mathematics Instruction ― The Wiskobas Project , 1986 .

[25]  Bert van Oers,et al.  From context to contextualizing , 1998 .

[26]  David Tall,et al.  Ambiguity and flexibility: A proceptual view of simple arithmetic , 1983 .

[27]  Jeremy Kilpatrick,et al.  Types of Generalization in Instruction: Logical and Psychological Problems in the Structuring of School Curricula , 1990 .

[28]  I. H. Fichte,et al.  Zeitschrift für Philosophie und philosophische Kritik , 2022 .