Modes of Description and the Problem of Representation in Linear Algebra
By J. Hillel. 2000
146 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Theoretical Computer Science
View Paper: https://www.semanticscholar.org/paper/bb9844c6a0d73c005ed440dae03e08c37a6f594b
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In Artificial Intelligence
In Computational Theory and Mathematics
In Theoretical Computer Science
Citations in the corpus
- Examining individual and collective level mathematical progress (2014, background): “Other studies analyzed student difficulties with the notions of basis (Hillel, 2000), linear transformation (Dreyfus, Hillel, & Sierpinska, 1999), rank (Dorier, Robert, Robinet, & Rogalski, 2000), linear independence (Bogomolny, 2007; Harel, 1997; Trigueros & Possani, 2013), and span (Stewart & Thom”
- Eigenvalues and eigenvectors: embodied, symbolic and formal thinking (2011, background): “It has been recognised by Hillel (2000) and Sierpinska (2000) that conceptual difficulties in linear algebra are often linked to its three kinds of description or representation: the general theory; the specific theory of R n ; and the geometry of”
- A hypothetical learning trajectory for conceptualizing matrices as linear transformations (2017, background): “the symbolic notation of linear algebra [24,25]; working with formal definitions in linear algebra [15]; and coordinating across the different modes or representations involved in linear algebra [17,18].”
- Subspace in linear algebra: investigating students’ concept images and interactions with the formal definition (2011, background): “Such a view is algebraic in the sense of Hillel’s “algebraic language of linear algebra” (Hillel, 2000).”