1994
DOI: 10.1090/cbmath/004/07
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The case of Dan: Student construction of a functional situation through visual attributes

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Cited by 62 publications
(42 citation statements)
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“…The new century offers educators a plethora of technologies (e.g., graphing calculators, geometry software, computer algebra systems, electronic laboratory probes, specialty software such as MathCars (Kaput, 1994)) and specially designed physical devices (e.g., Monk & Nemirovsky, 1994) for studying real-time dynamic events. Rich pedagogical opportunities abound for building on students' intuition about and experience with dynamically changing quantities.…”
Section: Discussionmentioning
confidence: 99%
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“…The new century offers educators a plethora of technologies (e.g., graphing calculators, geometry software, computer algebra systems, electronic laboratory probes, specialty software such as MathCars (Kaput, 1994)) and specially designed physical devices (e.g., Monk & Nemirovsky, 1994) for studying real-time dynamic events. Rich pedagogical opportunities abound for building on students' intuition about and experience with dynamically changing quantities.…”
Section: Discussionmentioning
confidence: 99%
“…Research suggests that undergraduate students are entering the university with weak understandings of functions, and entry level university courses do little to address this deficiency (Monk, 1992;Monk & Nemirovsky, 1994;Thompson, 1994a;Carlson, 1998). Recent investigations of college students' understandings of functions have documented that even academically talented undergraduate students have difficulty modeling functional relationships of situations involving the rate of change of one variable as it continuously varies in a dependency relationship with another variable (Monk & Nemirovsky, 1994;Thompson, 1994a;Carlson, 1998). Research has also shown that this ability is essential for interpreting models of dynamic events (Kaput, 1994;Rasmussen, 2000) and is foundational for understanding major concepts of calculus (Kaput, 1994;Thompson, 1994a;Cottrill, 1996;Zandieh, 2000) and differential equations (Rasmussen, 2000).…”
Section: Introductionmentioning
confidence: 99%
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“…Izsák (2000) analyzed processes of notation variation and mapping variation that eighth-grade students used when constructing algebraic models of linear motions in a physical device, and Roschelle (1998) introduced registrations to characterize similar knowledge when analyzing students' qualitative reasoning about Newtonian motion simulated by a computer microworld. Other researchers (Lobato, Ellis, & Muñoz, 2003;Lobato & Siebert, 2002;Meira, 1995;Monk & Nemirovsky, 1994;Moschkovich, 1998;Nemirovsky, 1994;Schoenfeld, Smith, & Arcavi, 1993) also reported instances in which learning to focus on and use features of graphs and tables-including y-intercepts, x-intercepts, and slopes-and attributes of physical objects for solving problems has been a significant accomplishment for students.…”
Section: Selecting Attributesmentioning
confidence: 98%
“…1 Growth and change consists of multiple, related processes including not only the construction of new knowledge elements, but also the coordination of diverse knowledge elements and the extension or constriction of conditions under which particular elements may be applied productively. Further research has applied the knowledge in pieces perspective to examine emerging competence in the domains of Newtonian mechanics (e.g., Roschelle, 1998;Sherin, 2001), intuitive epistemology (diSessa, Elby, & Hammer, 2003;Hammer & Elby, 2002), functions (e.g., Monk & Nemirovsky, 1994;Moschovich, 1998), fractions (Smith, 1995), and probability (Wagner, 2003). Most participants in these studies have been high school and college students.…”
mentioning
confidence: 99%