- -

CBL to revitalize deep learning of decision-making methods

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

CBL to revitalize deep learning of decision-making methods

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Trull-Domínguez, Óscar es_ES
dc.contributor.author Peiró-Signes, Ángel es_ES
dc.contributor.author Gómez-Palacios, César es_ES
dc.date.accessioned 2024-07-17T12:53:08Z
dc.date.available 2024-07-17T12:53:08Z
dc.date.issued 2024-03-12
dc.identifier.isbn 9788413961569
dc.identifier.uri http://hdl.handle.net/10251/206261
dc.description.abstract [EN] The use of active methodologies in teaching allows students and teachers a profound change in the way they face the teaching-learning process. The traditional approach where the teacher focuses his effort on the content ceases in favour of a new approach in which the student learns by own experience and decision, reinforcing the deep approach to learning. This is essential for some areas of knowledge, such as decision making. A student cannot face a business decision making if he is not aware of how it works. The use of learning based on challenges, applied to a designed experiential activity, allows the student to feel immersed in the business process, in such a way that they pose their own challenges and thereby develop their learning capacity. The support of virtual technologies like beer factory simulator software, increases this motivation. On this occasion we have designed a simulation activity of a beer bottling factory where students set their own challenges and make decisions according to their objectives, playing inside a virtual factory designed in Factory.io. The article describes the procedures to be able to reproduce this activity, as well as the results obtained in the exercise of the activity. es_ES
dc.format.extent 5 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Case based Learning es_ES
dc.subject Deep approach learning es_ES
dc.subject Decisionmaking es_ES
dc.title CBL to revitalize deep learning of decision-making methods es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/BMT2023.2023.16743
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Trull-Domínguez, Ó.; Peiró-Signes, Á.; Gómez-Palacios, C. (2024). CBL to revitalize deep learning of decision-making methods. Editorial Universitat Politècnica de València. https://doi.org/10.4995/BMT2023.2023.16743 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename 5th International Conference. Business Meets Technology es_ES
dc.relation.conferencedate Julio 13-15, 2023 es_ES
dc.relation.conferenceplace Valencia, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/BMT/BMT2023/paper/view/16743 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\16743 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem