2017
DOI: 10.1007/s11786-017-0310-8
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Applications of CAS in the Teaching and Learning of Discrete Mathematics

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Cited by 11 publications
(6 citation statements)
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“…Recently, the requirements for developing demonstrating and modeling programs have been intensifying, and, first of all, the requirements for interactivity, understandability, and simplicity of the interface used are increasing. Scientists such as Bobalova (2019), Durcheva and Varbanova (2017), Klima and Sigmon (2012) widely use the capabilities of the Maple computer algebra system and building interactive applications using the capabilities of the Maplets library.…”
Section: Interactive Submission Formmentioning
confidence: 99%
“…Recently, the requirements for developing demonstrating and modeling programs have been intensifying, and, first of all, the requirements for interactivity, understandability, and simplicity of the interface used are increasing. Scientists such as Bobalova (2019), Durcheva and Varbanova (2017), Klima and Sigmon (2012) widely use the capabilities of the Maple computer algebra system and building interactive applications using the capabilities of the Maplets library.…”
Section: Interactive Submission Formmentioning
confidence: 99%
“…Understanding how computers work and their applications requires knowledge of discrete mathematics (Pollak, 2007). However, the special opportunities provided by technology are also pointed out in the context of teaching discrete mathematics (Durcheva & Varbanova, 2017;Weigand, 2014). In the context of a short Canadian experiment to explore the potential of introducing complex dynamical systems into curricula, it was discussed that the transition to a computer treatment involves as a fundamental element one or more types of discretization, for example of time, of space or of matter.…”
Section: Relevance Of Discrete Mathematicsmentioning
confidence: 99%
“…El trabajo matemático en torno a la generación de modelos presenta diferentes escenarios bajo los cuales se construyen de acuerdo a las características del fenómeno a modelar; en particular los modelos en tiempo discreto se presentan como el mejor método para describir el comportamiento de un fenómeno que se rastrea a partir de mediciones temporales igualmente espaciadas (Durcheva y Varbanova, 2017). En este sentido el proceso de comprender la manera en la cual se interrelacionan los individuos de una comunidad y la forma óptima en que éstos aprovechan los recursos que les proporciona su entorno, es una tarea compleja en la que se involucran elementos característicos de las poblaciones y objetos matemáticos propicios para describir Modelos de Crecimiento Poblacional: Enseñanza-Aprendizaje desde las Ecuaciones Recursivas Parra Formación Universitaria Vol.…”
Section: Modelos En Tiempo Discretounclassified