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Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching

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Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching

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dc.contributor.author Montuori, Lina es_ES
dc.contributor.author Alcázar Ortega, Manuel es_ES
dc.contributor.author Bastida Molina, Paula es_ES
dc.contributor.author Vargas Salgado, Carlos Afranio es_ES
dc.date.accessioned 2021-02-23T10:45:24Z
dc.date.available 2021-02-23T10:45:24Z
dc.date.issued 2021-02-08
dc.identifier.isbn 9788490488737
dc.identifier.issn 2695-8554
dc.identifier.uri http://hdl.handle.net/10251/162133
dc.description.abstract [EN] In the so-called society 4.0, Artificial Intelligence (AI) is being widely used in many areas of life. Machine learning uses mathematical algorithms based on "training data", which are able to make predictions or take decisions with the ability to change their behavior through a self-training approach. Furthermore, thanks to AI, a large volume of data can be now processed with the overall goal to extract patterns and transform the information into a comprehensible structure for further utilization, which manually done by humans would easily take several years. In this framework, this article explores the potential of AI and machine learning to empower flipped classroom with just-in-time teaching (JiTT). JiTT is a pedagogical method that can be easily combined with the reverse teaching. It allows professors to receive feedback from students before class, so they may be able to adapt the lesson flow, as well as preparing strategies and activities focused on the student deficiencies. This research explores the application of AI in high education as a tool to analyze the key variables involved in the learning process of students and to integrate JiTT within the flipped classroom. Finally, a case of application of this methodology is presented, applied to the course of Energy Markets taught at the Polytechnic University of Valencia. es_ES
dc.description.sponsorship This work was supported in part by the regional public administration of Valencia under the grant ACIF/2018/106. es_ES
dc.format.extent 9 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof Proceedings INNODOCT/20. International Conference on Innovation, Documentation and Education es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Innovation es_ES
dc.subject Teaching Technologies es_ES
dc.subject Documentation es_ES
dc.subject Artificial intelligence es_ES
dc.subject Machine learning es_ES
dc.subject Flipped classroom es_ES
dc.subject Just-In-Time teaching es_ES
dc.subject High Education es_ES
dc.subject Methodology es_ES
dc.title Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/INN2020.2020.11896
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F106/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada es_ES
dc.description.bibliographicCitation Montuori, L.; Alcázar Ortega, M.; Bastida Molina, P.; Vargas Salgado, CA. (2021). Application of Artificial intelligence to high education: empowerment of flipped classroom with just-in-time teaching. En Proceedings INNODOCT/20. International Conference on Innovation, Documentation and Education. Editorial Universitat Politècnica de València. 223-231. https://doi.org/10.4995/INN2020.2020.11896 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename INNODOCT 2020 es_ES
dc.relation.conferencedate Noviembre 11-16,2020 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/INNODOCT/INN2020/paper/view/11896 es_ES
dc.description.upvformatpinicio 223 es_ES
dc.description.upvformatpfin 231 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\11896 es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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