Abstract:This document presents a literature review that analyzes the articulation of modeling and digital technologies in the field of Mathematics Education. The review aims to find evidence of the use of digital technologies in modeling processes and how these practices can change some ways of working with students in the classroom. The results show, on the one hand, different roles that technology plays when it is articulated to a modeling process (as a resource in the process or as a means that reorganizes the proc… Show more
“…As observed in Figures 3 and 4, even though the quantities A and V appear in the model, the variable that needed to be taken into account in the model was the ratio between them (A/V). According to Molina-Toro and colleagues [25], the software was used as a support for the mathematical activity of the students. The software allowed model analysis to have components of interpretation, exploration and manipulation of variables, as well as the identification of regularities and the establishing of relationships; in some episodes, it also allowed the manipulation of geometric objects to recognize relationships between the quantities involved.…”
International research has revealed different roles of mathematics in the practices of engineers and some implications of mathematics teaching for engineering students. Modeling and mathematical models have proven to be valuable tools for their professional work and for their teaching process. This study identifies opportunities offered by a process of analysis of a mathematical model in the training of engineers. For this analysis, an interpretation of mathematical models as an object–user–representation triad was used; mathematical models were also considered a pedagogical approach to mathematics teaching. Based on this approach, a qualitative study was developed. A teaching experiment was designed, in which, through a set of tasks, the analysis of a model describing the percentage of moisture removed in a radial airflow food dryer is considered. Results show that students evidenced a comprehension of the model function as a covariation relationship and implemented strategies for understanding it through the graphs in the model. The situated character of students’ reasoning and their experience with professional practices of engineers are also highlighted.
“…As observed in Figures 3 and 4, even though the quantities A and V appear in the model, the variable that needed to be taken into account in the model was the ratio between them (A/V). According to Molina-Toro and colleagues [25], the software was used as a support for the mathematical activity of the students. The software allowed model analysis to have components of interpretation, exploration and manipulation of variables, as well as the identification of regularities and the establishing of relationships; in some episodes, it also allowed the manipulation of geometric objects to recognize relationships between the quantities involved.…”
International research has revealed different roles of mathematics in the practices of engineers and some implications of mathematics teaching for engineering students. Modeling and mathematical models have proven to be valuable tools for their professional work and for their teaching process. This study identifies opportunities offered by a process of analysis of a mathematical model in the training of engineers. For this analysis, an interpretation of mathematical models as an object–user–representation triad was used; mathematical models were also considered a pedagogical approach to mathematics teaching. Based on this approach, a qualitative study was developed. A teaching experiment was designed, in which, through a set of tasks, the analysis of a model describing the percentage of moisture removed in a radial airflow food dryer is considered. Results show that students evidenced a comprehension of the model function as a covariation relationship and implemented strategies for understanding it through the graphs in the model. The situated character of students’ reasoning and their experience with professional practices of engineers are also highlighted.
“…Daher and Shahbari (2015) found that the spreadsheets helped prospective teachers build the technological mathematical model, where the integration of the spreadsheets happened in different phases of building the model. Molina-Toro, Rendón-Mesa, and Villa-Ochoa (2019), by reviewing the literature on the role of technology in mathematical modelling, found that the literature pointed at technology support of the various modelling processes that constituted part of the modeling cycle. The reviewed literature suggested that there are two roles of technology in carrying out modelling activities in the classroom.…”
Section: The Role Of Technology In Mathematical Modellingmentioning
Researchers pointed at modelling activities as affecting positively students' learning including motivation to learn, but little research has studied students' motivation to learn mathematics during their engagement in modelling activities with technology. Three groups of 4-5 students carried out the Roc modelling activity utilizing the internet and GeoGebra. The data was collected using video recording and students' solution texts. Inductive and deductive content analysis were used to analyze the data. The research results indicated that the groups experienced motivational patterns that included both sympathy and mastery styles, where these styles were accompanied with confirming styles in general, but sometimes with rebellious styles too. In addition, carrying out the modelling activity using the internet and GeoGebra, the group members were engaged primarily with processes-based motivational styles, but doing so, they kept in mind their goal to build a mathematical model of the Roc bird.
“…Según Molina-Toro et al (2019), los estudios futuros deberán centrarse no solo en múltiples herramientas tecnológicas o en el rendimiento de los estudiantes, sino también en cómo modelan, cómo dan sentido a sus conjeturas, cómo realizan sus experimentos, cuál es el impacto de las tecnologías digitales en ellos y cuáles son las características de las herramientas que seleccionan para abordar esos procesos. Aunque la literatura científica sobre m-learning se ha desarrollado recientemente, aún es escasa y se necesita más investigación teórica y empírica sobre el uso de dispositivos móviles en el modelado.…”
Section: Discusión Y Conclusionesunclassified
“…La vinculación de la tecnología a la enseñanza de las matemáticas impone un desafío para el docente, no solo por el hecho de que las tecnologías digitales hayan transformado y estén transformando las relaciones humanas (Westera, 2004), sino también, porque esta vinculación parece servir de mediadora en la resignificación del proceso de enseñanza y aprendizaje (Inayat & Hamid, 2016). Se destacan dos perspectivas epistemológicas que pueden convivir en educación matemática: la primera concibe la tecnología como un recurso para el desarrollo de procesos de modelado; la segunda le asigna un rol reorganizador de este proceso, donde las tecnologías digitales son fundamentales para desarrollar experimentos y simulaciones que promuevan diversos tipos de participación de los estudiantes en la construcción de su propio conocimiento, al mismo tiempo que pueden acceder a soluciones numéricas, herramientas de visualización y control gráfico (Molina-Toro, Rendón-Mesa & Villa-Ochoa, 2019).…”
Este artículo presenta los resultados de un proyecto de investigación desarrollado en la Facultad de Ingeniería y Ciencias Básicas de la Fundación Universitaria Los Libertadores (Bogotá, D.C.) cuyo objetivo consistió en describir y analizar los efectos de implementar una estrategia didáctica para la enseñanza de la noción de área bajo la curva, durante un curso de Cálculo Integral, a partir de la integración de teléfonos celulares como dispositivos que pueden apoyar el proceso de aprendizaje y no como artefactos nocivos o distractores y que responden a nuevas formas de reconocerse e integrarse a comunidades alternativas de aprendizaje. Se realizó un diseño experimental de cuatro grupos de Solomon con el propósito de determinar la influencia de una intervención mediada por la aplicación móvil “Calculadora Gráfica” de GeoGebra considerando también el efecto de una prueba de entrada. Los resultados encontrados señalan que los dos grupos que tuvieron la intervención mediada por la aplicación móvil obtuvieron mejor rendimiento en la prueba de salida que aquellos grupos que tuvieron una intervención con calculadora científica tradicional.
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