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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

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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

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dc.contributor.author Llopis-Albert, Carlos es_ES
dc.contributor.author Rubio, Francisco es_ES
dc.date.accessioned 2021-04-14T08:20:30Z
dc.date.available 2021-04-14T08:20:30Z
dc.date.issued 2021-04-01
dc.identifier.uri http://hdl.handle.net/10251/165117
dc.description.abstract [EN] 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. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Multidisciplinary Journal for Education, Social and Technological Sciences es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Transversal competences es_ES
dc.subject Project-based learning es_ES
dc.subject Innovation es_ES
dc.subject Creativity and entrepreneurship es_ES
dc.subject Knowledge of contemporary problems es_ES
dc.title Methodology to evaluate transversal competences in the master's degree in industrial engineering based on a system of rubrics and indicators es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/muse.2021.15244
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Llopis-Albert, C.; Rubio, F. (2021). Methodology to evaluate transversal competences in the master's degree in industrial engineering based on a system of rubrics and indicators. Multidisciplinary Journal for Education, Social and Technological Sciences. 8(1):30-44. https://doi.org/10.4995/muse.2021.15244 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/muse.2021.15244 es_ES
dc.description.upvformatpinicio 30 es_ES
dc.description.upvformatpfin 44 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2341-2593
dc.relation.pasarela OJS\15244 es_ES
dc.description.references Eberle, B. (1996). Scamper: Games for Imagination Development. Prufrock Press Inc. ISBN 978-1-882664-24-5. es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research, 68 (7), 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027 es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valero, F. (2018). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867 es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valero, F. (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, 101, 737-742. https://doi.org/10.1016/j.jbusres.2018.12.076 es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valero, F., Liao, H., Zeng, S. (2019a). Stochastic inverse finite element modeling for characterization of heterogeneous material properties. Materials Research Express, 6(11), 115806. https://doi.org/10.1088/2053-1591/ab4c72 es_ES
dc.description.references Llopis-Albert, C., Valero, F., Mata, V., Pulloquinga, J.L., Zamora-Ortiz, P., Escarabajal, R.J. (2020). Optimal Reconfiguration of a Parallel Robot for Forward Singularities Avoidance in Rehabilitation Therapies. A Comparison via Different Optimization Methods. Sustainability, 12(14), 5803. https://doi.org/10.3390/su12145803 es_ES
dc.description.references Llopis-Albert, C., Valero, F., Mata, V., Zamora-Ortiz, P., Escarabajal, R.J., Pulloquinga, J.L. (2020a). Optimal Reconfiguration of a Limited Parallel Robot for Forward Singularities Avoidance. Multidisciplinary Journal for Education, Social and Technological Sciences, 7(1), 113-127. https://doi.org/10.4995/muse.2020.13352 es_ES
dc.description.references Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2015). Assembly Line Productivity Assessment by Comparing Optimization-Simulation Algorithms of Trajectory Planning for Industrial Robots. Mathematical Problems in Engineering, 10 pages. Article ID 931048. https://doi.org/10.1155/2015/931048 es_ES
dc.description.references Rubio, F., Llopis-Albert, C., Valero, F., & Suñer, J. L. (2016). Industrial robot efficient trajectory generation without collision through the evolution of the optimal trajectory. Robotics and Autonomous Systems, 86, 106-112. https://doi.org/10.1016/j.robot.2016.09.008 es_ES
dc.description.references Rubio, F., Llopis-Albert, C. (2019). Viability of using wind turbines for electricity generation in electric vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences, 6(1), 115-126. https://doi.org/10.4995/muse.2019.11743 es_ES
dc.description.references Rubio, F., Valero, F., & Llopis-Albert, C. (2019a). A review of mobile robots: Concepts, methods, theoretical framework, and applications. International Journal of Advanced Robotic Systems, 16(2), 172988141983959. https://doi.org/10.1177/1729881419839596 es_ES
dc.description.references Rubio, F., Llopis-Albert, C., Valero, F., Besa, A.J. (2020). Sustainability and optimization in the automotive sector for adaptation to government vehicle pollutant emission regulations. Journal of Business Research 112, 561-566. https://doi.org/10.1016/j.jbusres.2019.10.050 es_ES
dc.description.references UPV, 2020. Proyecto institucional competencias transversales. Universitat Politècnica de València (UPV). Valencia. Spain. https://www.upv.es/entidades/ICE/info/Proyecto_Institucional_CT.pdf es_ES
dc.description.references Valero, F., Rubio, F., Llopis-Albert, C., Cuadrado, J.I. (2017). Influence of the Friction Coefficient on the Trajectory Performance for a Car-Like Robot. Mathematical Problems in Engineering, 9 pages. Article ID 4562647. https://doi.org/10.1155/2017/4562647 es_ES
dc.description.references Valero, F., Rubio, F., Llopis-Albert, C. (2019). Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot. Robotica, 37(11), 1998-2009. https://doi.org/10.1017/S0263574719000407 es_ES
dc.description.references Valero, F., Rubio, F., Besa, A.J. (2019a). Efficient trajectory of a car-like mobile robot. Industrial Robot: the international journal of robotics research and application, 46(2), 211-222. https://doi.org/10.1108/IR-10-2018-0214 es_ES


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