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Original Articles

Projecting rate of change in the context of motion onto the context of money

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Pages 887-904 | Received 12 Nov 2002, Published online: 25 May 2010

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Read on this site (4)

Thembinkosi P. Mkhatshwa. (2020) Calculus students’ quantitative reasoning in the context of solving related rates of change problems. Mathematical Thinking and Learning 22:2, pages 139-161.
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Crisólogo Dolores-Flores, Martha Iris Rivera-López & Javier García-García. (2019) Exploring mathematical connections of pre-university students through tasks involving rates of change. International Journal of Mathematical Education in Science and Technology 50:3, pages 369-389.
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Thembinkosi Peter Mkhatshwa & Helen M. Doerr. (2018) Undergraduate Students’ Quantitative Reasoning in Economic Contexts. Mathematical Thinking and Learning 20:2, pages 142-161.
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Sonya Ellouise Sherrod, Jerry Dwyer & Ratna Narayan. (2009) Developing science and math integrated activities for middle school students. International Journal of Mathematical Education in Science and Technology 40:2, pages 247-257.
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Articles from other publishers (14)

Mahmut Kertil, Ayhan Kursat Erbas & Bulent Cetinkaya. (2022) Pre-service Mathematics Teachers’ Understanding of Rate of Change Throughout a Model Development Sequence. International Journal of Science and Mathematics Education 21:6, pages 1769-1796.
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Frank Feudel & Rolf Biehler. (2021) Students’ Understanding of the Economic Interpretation of the Derivative in the Context of Marginal Cost. International Journal of Research in Undergraduate Mathematics Education 8:3, pages 437-468.
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Mahmut KERTİL. (2021) Conceptual Analysis of Derivative as a Rate of Change and Analysis of the Mathematics TextbooksTürevin Değişim Oranı (Hızı) Yorumunun Kavramsal Analizi ve Matematik Ders Kitaplarının İncelenmesi. Sakarya University Journal of Education 11:3, pages 545-568.
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Frank Feudel & Rolf Biehler. (2020) Students’ Understanding of the Derivative Concept in the Context of Mathematics for EconomicsUntersuchungen zum Verständnis der Ableitung in der Mathematik für Wirtschaftswissenschaftler. Journal für Mathematik-Didaktik 42:1, pages 273-305.
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Carolien Duijzer, Marja Van den Heuvel-Panhuizen, Michiel Veldhuis, Michiel Doorman & Paul Leseman. (2019) Embodied Learning Environments for Graphing Motion: a Systematic Literature Review. Educational Psychology Review 31:3, pages 597-629.
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Jennifer Wilhelm, Ronald Wilhelm & Merryn ColeJennifer Wilhelm, Ronald Wilhelm & Merryn Cole. 2019. Creating Project-Based STEM Environments. Creating Project-Based STEM Environments 21 34 .
Jennifer L. Cooper, Pooja G. Sidney & Martha W. Alibali. (2018) Who Benefits from Diagrams and Illustrations in Math Problems? Ability and Attitudes Matter. Applied Cognitive Psychology 32:1, pages 24-38.
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Mahmut Kertil, Ayhan Kürşat Erbaş & Bülent Çetinkaya. (2017) İlköğretim Matematik Öğretmen Adaylarının Değişim Oranı ile İlgili Düşünme Biçimlerinin Bir Modelleme Etkinliği Bağlamında İncelenmesi. Turkish Journal of Computer and Mathematics Education (TURCOMAT), pages 188-188.
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Candace Walkington & Matthew Bernacki. (2015) Students authoring personalized “algebra stories”: Problem-posing in the context of out-of-school interests. The Journal of Mathematical Behavior 40, pages 171-191.
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Heather L. Johnson. (2015) Together yet separate: Students’ associating amounts of change in quantities involved in rate of change. Educational Studies in Mathematics 89:1, pages 89-110.
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Dawn Teuscher & Robert E. Reys. (2012) Rate of Change: AP Calculus Students' Understandings and Misconceptions After Completing Different Curricular Paths. School Science and Mathematics 112:6, pages 359-376.
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Candace Walkington, Milan Sherman & Anthony Petrosino. (2012) “Playing the game” of story problems: Coordinating situation-based reasoning with algebraic representation. The Journal of Mathematical Behavior 31:2, pages 174-195.
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Mehmet Fatih Taşar. (2010) What part of the concept of acceleration is difficult to understand: the mathematics, the physics, or both?. ZDM 42:5, pages 469-482.
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Sandra Herbert & Robyn Pierce. (2008) An ‘Emergent Model’ for Rate of Change. International Journal of Computers for Mathematical Learning 13:3, pages 231-249.
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