Laura García-Ruesgas

Computer-extended Descriptive Geometry (CeDG) is a new approach to solving and building computer models of three-dimensional (3D) geometrical systems through descriptive geometry procedures (thus inheriting invariant-symmetry properties from projective geometry) that have demonstrated reliability and accuracy. CeDG may calculate a parametric implicit functional form for the spatial curves generated in the intersection of two surfaces, as well as of the flattened pattern of any developable surface involved in those encounters. This study first presents the theoretical foundations and methodology to calculate those curves. Secondly, a compound hopper is defined and modeled through CeDG (implemented in GeoGebra) and CAD (Solid Edge© 2023) approaches to evaluate the advantages of CeDG against CAD. The results demonstrate the robustness and accuracy of the CeDG technique for he intersection and flattening of surfaces and the advantages of CeDG against Solid Edge 2023 in solving the hopper case study.

Computer extended Descriptive Geometry (CeDG) is a new approach to solve and build computer models of three dimensional (3D) geometrical systems through descriptive geometry procedures that have demonstrated reliability and accuracy. CeDG may calculate a parametric algebraic exact form for the spatial curves generated in the intersection of two surfaces, as well as of the flattened pattern of any developable surface involved in those encounters. This study presents first the theoretical foundations and methodology to calculate those parametric algebraic curves. Secondly, a compound hopper is defined and modelled through CeDG (implemented in GeoGebra) and CAD (Solid Edge 2023) approaches to evaluate the advantages of CeDG against CAD. The results demonstrate the robustness and accuracy of the CeDG technique for surfaces intersection and flattening and the advantages of CeDG against Solid Edge 2023 in solving the hopper case study.

El método de Aula Invertida está en continua evolución, incorporando procesos, técnicas, tecnologías y servicios de nuevas tendencias de innovación educativa. En este trabajo se analiza la incorporación de modelos adaptativos que generan procesos personalizados de aprendizaje. Se comienza identificando distintos modelos que analizan evidencias del alumnado para personalizar recursos, principalmente de la fase correspondiente a la “Lección en Casa”. Posteriormente se integran todos los modelos en un modelo más global. Dicho modelo es flexible ya que se podría transformar en cualquiera de los diferentes modelos previos individuales, también se puede adaptar a distintas estrategias de aprendizaje del método de Aula Invertida. Este modelo nos permitirá clasificar y analizar cualquier experiencia de Aula Invertida Adaptativa independientemente de cuando se realice la adaptación. Martín-Núñez, José Luis; Fidalgo-Blanco, Ángel; García Ruesgas, Laura; Sein-Echaluce, María Luisa