7 resultados para design-based inference

em Universidad de Alicante


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Early education is a key element for the future success of students in the education system. This work analyzes the feasibility of using augmented reality contents with preschool students (four and five years old) as a tool for improving their learning process. A quasi experimental design based on a nonequivalent groups posttest-only design was used. A didactic unit has been developed around the topic “animals” by the participant teachers. The control group followed all the didactic activities defined in the developed didactic materials, while the experimental group was provided in addition with some augmented reality contents. Results show improved learning outcomes in the experimental group with respect to the control group.

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Este artículo presenta un estudio cualitativo realizado en la Facultad de Educación de la Universidad Católica del Maule (Chile), en relación a las expectativas de los académicos en torno a la integración de las TIC en educación. Se expone el diseño metodológico basado en el análisis de contenido y la codificación abierta de la teoría fundamentada, y en el cual se ha utilizado el programa de análisis cualitativo ATLAS.ti (CQDAS). En general, los académicos poseen altas expectativas respecto a los efectos que se producen al utilizar las TIC respecto a diversos aspectos.

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In this paper we explore the implications of pluralist curricula for architectural technology. This includes the potential effects on strengthening the identity of the architectural technology profession and the academic development of the discipline. This latter relies, arguably, on research being explicit in CIAT’s eight mandatory threshold standards. This work concentrates on one of the Chartered Institute of Architectural Technologist’s (CIATS’s) key subjects; 'design', defined as detail design for the architectural technologist. In postulating a philosophy of architectural technology epistemology with a focus on detail design, the pedagogy of architectural detailing in practice and academia is investigated: the associated roles of creativity and conditioning are explored. The interrelationship between conceptual design and construction processes in practice is outlined, identifying the role of the detail design specialist (architectural technologist) in the management of design and production information. Thus is identified the future architectural technologists’ specialisation of nuclear architecture: the total quality construction created by quality of thinking which permeates from and to detail design for assembly/disassembly and production within a collaboratively mechanised AEC team. A theory of nuclear architecture and an associated approach to detail design pedagogy are postulated, aiming to promote a revised perception of the definition of design for the architectural technologist. How this theory can be applied to the creation of a paradigmatic student project, themed on designing for disassembly as a key future focus of ‘Healthy Building’ design is introduced for future exploration. This future research into detail design, the authors propose, should be predicated on the appropriate methodology related to the epistemology of a design-based area of the architectural technology discipline. The roles of Professional, Statutory and Regulatory Bodies (PSRB) in the evaluation and subsequent dissemination of this detail design pedagogy, with the aim of strengthening the architectural technology discipline are emphasised.

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The way we understand landscape shows how we interpret reality and perceive everything around us. The first step in learning about concepts related to both landscape study and planning is to be proactive about how do we use our senses. This means becoming aware of the feelings and attitudes awakened by the spatial configuration of the places we frequent. Our introduction to Landscape Urbanism begins with a specific practical activity aimed at awakening the senses, with a two-fold purpose: analytical and design-based.

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In this work, we present a systematic method for the optimal development of bioprocesses that relies on the combined use of simulation packages and optimization tools. One of the main advantages of our method is that it allows for the simultaneous optimization of all the individual components of a bioprocess, including the main upstream and downstream units. The design task is mathematically formulated as a mixed-integer dynamic optimization (MIDO) problem, which is solved by a decomposition method that iterates between primal and master sub-problems. The primal dynamic optimization problem optimizes the operating conditions, bioreactor kinetics and equipment sizes, whereas the master levels entails the solution of a tailored mixed-integer linear programming (MILP) model that decides on the values of the integer variables (i.e., number of equipments in parallel and topological decisions). The dynamic optimization primal sub-problems are solved via a sequential approach that integrates the process simulator SuperPro Designer® with an external NLP solver implemented in Matlab®. The capabilities of the proposed methodology are illustrated through its application to a typical fermentation process and to the production of the amino acid L-lysine.

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We address the optimization of discrete-continuous dynamic optimization problems using a disjunctive multistage modeling framework, with implicit discontinuities, which increases the problem complexity since the number of continuous phases and discrete events is not known a-priori. After setting a fixed alternative sequence of modes, we convert the infinite-dimensional continuous mixed-logic dynamic (MLDO) problem into a finite dimensional discretized GDP problem by orthogonal collocation on finite elements. We use the Logic-based Outer Approximation algorithm to fully exploit the structure of the GDP representation of the problem. This modelling framework is illustrated with an optimization problem with implicit discontinuities (diver problem).

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The economic design of a distillation column or distillation sequences is a challenging problem that has been addressed by superstructure approaches. However, these methods have not been widely used because they lead to mixed-integer nonlinear programs that are hard to solve, and require complex initialization procedures. In this article, we propose to address this challenging problem by substituting the distillation columns by Kriging-based surrogate models generated via state of the art distillation models. We study different columns with increasing difficulty, and show that it is possible to get accurate Kriging-based surrogate models. The optimization strategy ensures that convergence to a local optimum is guaranteed for numerical noise-free models. For distillation columns (slightly noisy systems), Karush–Kuhn–Tucker optimality conditions cannot be tested directly on the actual model, but still we can guarantee a local minimum in a trust region of the surrogate model that contains the actual local minimum.