Stochastic inverse finite element modeling for characterization of heterogeneous material properties

Valle-Falcones

et al. 2020

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This paper presents a teaching innovation project based on applying technical computing systems as a resource to improve learning in the classroom and as a way of evaluating transversal competences (TC). By these means, students analyze complex kinematic and dynamic mechanical systems in the context of the subject Dynamics of Mechanical Systems of the Master’s Degree in Mechatronics Engineering at Universitat Politècnica de València (Spain). We have observed that the use of such tools improves the students learning on the contents of the subject, allows to acquire the transversal competence related to the analysis and problem solving, and enhances the ability to understand concepts intuitively. Furthermore, results clearly show a positive influence on the use of such tools for improving the professional and ethical commitment to the issues raised.

Use of technical computing systems in the context of engineering problems

Valle-Falcones

et al. 2020

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Methodology to evaluate transversal competences in the master's degree in industrial engineering based on a system of rubrics and indicators

2021

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This paper presents a methodology to evaluate transversal competences in the context of the subject “Design and application of industrial equipment” in the Master's Degree in Industrial Engineering at Universitat Politècnica de València (Spain). The competency-based education implies several activities, such as a project-based learning that must be eventually defended in public by students in groups. Evidence of learning is collected based on a well-defined system of rubrics and indicators, which are known in advance by students. We have observed that the use of such techniques improves the students learning on the contents of the subject, allows to acquire the transversal competences related to the analysis and problem solving, and enhances the ability to understand concepts intuitively. Moreover, results clearly show a positive influence on the use of such tools for improving the professional and ethical commitment to the issues raised.

Application of Learning Analytics to Improve Higher Education

2021

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In the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themselves and the managers or heads of university centers. This paper applies learning analytics to the subject of Theory of Machines and Strength of Materials of the bachelor's degree in Chemical Engineering at Universitat Politècnica de València (Spain). The aim of analyzing the available information is to improve teachers’ actions and communication, to enhance resource efficiency, to assess classroom procedures, the achievement of transversal competences, the student typology and their results, or the attitudes and commitment they acquire with the subject taught. Results show the existence of niches with competitive advantages, improvements in the quality and performance of the teaching-learning experience.