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Application of Learning Analytics to Improve Higher Education

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Application of Learning Analytics to Improve Higher Education

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dc.contributor.author Llopis-Albert, Carlos es_ES
dc.contributor.author Rubio, Francisco es_ES
dc.date.accessioned 2021-10-07T07:16:34Z
dc.date.available 2021-10-07T07:16:34Z
dc.date.issued 2021-10-06
dc.identifier.uri http://hdl.handle.net/10251/174085
dc.description.abstract [EN] 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. 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 Learning analytics es_ES
dc.subject Big data es_ES
dc.subject Transversal competences es_ES
dc.subject Information and Communications Technology es_ES
dc.subject E-Learning es_ES
dc.subject Blended learning es_ES
dc.title Application of Learning Analytics to Improve Higher Education es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/muse.2021.16287
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). Application of Learning Analytics to Improve Higher Education. Multidisciplinary Journal for Education, Social and Technological Sciences. 8(2):1-18. https://doi.org/10.4995/muse.2021.16287 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/muse.2021.16287 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2341-2593
dc.relation.pasarela OJS\16287 es_ES
dc.description.references Dollár, A., Steif, P. S. (2012). Web-based Statics Course with Learning Dashboard for Instructors. Computers and Advanced Technology in Education. https://doi.org/10.2316/P.2012.774-025 es_ES
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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 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.references Llopis-Albert C., Rubio F., Valero F. (2021a). Modelling an industrial robot and its impact on productivity. Mathematics, 9(7):769. https://doi.org/10.3390/math9070769 es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valero, F. (2021). Impact of digital transformation on the automotive industry. Technological Forecasting and Social Change, 162, 120343. https://doi.org/10.1016/j.techfore.2020.120343 es_ES
dc.description.references Llopis-Albert, C., Palacios-Marqués, D., Simón-Moya, V. (2021). Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicles (EVs). Technological Forecasting and Social Change, 169, 120843. https://doi.org/10.1016/j.techfore.2021.120843 es_ES
dc.description.references Llopis-Albert, C., Rubio, F., Valle-Falcones, L.M., Grima-Olmedo, C. (2020). Use of technical computing systems in the context of engineering problems. Multidisciplinary Journal for Education, Social and Technological Sciences, 7(2), 84-99. https://doi.org/10.4995/muse.2020.14283 es_ES
dc.description.references OEI (2019). Learning analytics and education. Revista iberoamericana de educación. Organización de Estados Iberoamericanos para la Educación, la Ciencia y la Cultura (OEI). Monográficos, volumen 80(1), 217 pages. https://rieoei.org/RIE/issue/view/Learning%20Analytics/vol%2080%281%29 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 Valera Á., Valero F., Vallés M., Besa A., Mata V., Llopis-Albert C. (2021). Navigation of autonomous light vehicles using an optimal trajectory planning algorithm. Sustainability. 2021; 13(3):1233. https://doi.org/10.3390/su13031233 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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