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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. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Ingeniería Energética - Institut d'Enginyeria Energètica | 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 |