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Training Data Scientists Through Project-Based Learning

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Training Data Scientists Through Project-Based Learning

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dc.contributor.author Martínez-Plumed, Fernando es_ES
dc.contributor.author Hernández-Orallo, José es_ES
dc.date.accessioned 2024-05-10T18:06:25Z
dc.date.available 2024-05-10T18:06:25Z
dc.date.issued 2023-08 es_ES
dc.identifier.issn 1932-8540 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204083
dc.description.abstract [EN] The concepts of innovation, creativity, problem solving, effective communication, autonomy and critical thinking are at the core of becoming a good data scientist. Adapting to new technological resources and tools is also an important skill, which also builds on the curious and inquisitive nature associated with data science, and is fuelled by rapidly changing data science ecosystems in industry. In this regard, Project-based learning (PBL) has clear benefits for engaging students in data science courses. However, the exploratory character of data science projects, which do not start with a clear specification of what to do, but some data to analyse, pose some challenges to the application of PBL. Our aim is to improve students' data science learning experiences and outcomes through the use of PBL. In this paper, we share our experiences with PBL and present an assessment rubric that focuses on value, innovation and narrative, which can be used as a scaffolding structure for data science courses. Our analysis of a PBL data science course at MSc level, together with data from student surveys, shows how the methodology and rubric align well with the exploratory nature of data science and the proactive, curious, and inquisitive skills required of data scientists. es_ES
dc.description.sponsorship Thiswork was supported in part by valgrAI, the Norwegian Research Council Grant 329745 Machine Teaching for Explainable AI, the Future of LifeInstitute (FLI), under Grant RFP2-152, the EU (FEDER), and Spanish Grant RTI2018-094403-B-C32 through MCIN/AEI/10.13039/501100011033 and in part by CIPROM/2022/6 through Generalitat Valenciana, EU's Horizon 2020 Research and Innovation Programme under Grant 952215 (TAILOR), U.S. DARPA HR00112120007 (RECoG-AI), and Spanish Grant PID2021-122830OB-C42 (SFERA) through MCIN/AEI/10.13039/501100011033 and "ERDF a Way of Making Europe." es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE-RITA: Latin-American Learning Technologies Journal es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Data science es_ES
dc.subject Data mining es_ES
dc.subject Computer science es_ES
dc.subject Business es_ES
dc.subject Technological innovation es_ES
dc.subject Data models es_ES
dc.subject Trajectory es_ES
dc.subject Project based-learning es_ES
dc.subject Assessment tools es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Training Data Scientists Through Project-Based Learning es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/RITA.2023.3302954 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094403-B-C32/ES/RAZONAMIENTO FORMAL PARA TECNOLOGIAS FACILITADORAS Y EMERGENTES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122830OB-C42/ES/METODOS FORMALES ESCALABLES PARA APLICACIONES REALES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/952215/EU/Integrating Reasoning, Learning and Optimization/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIPROM%2F2022%2F6//TECNOLOGIAS DE APRENDIZAJE Y RAZONAMIENTO RAPIDO Y LENTO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/RCN//329745/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FLI//RFP2-152/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/DOD//HR00112120007/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Martínez-Plumed, F.; Hernández-Orallo, J. (2023). Training Data Scientists Through Project-Based Learning. IEEE-RITA: Latin-American Learning Technologies Journal. 18(3):295-304. https://doi.org/10.1109/RITA.2023.3302954 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/RITA.2023.3302954 es_ES
dc.description.upvformatpinicio 295 es_ES
dc.description.upvformatpfin 304 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\511798 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder Future of Life Institute es_ES
dc.contributor.funder Research Council of Norway es_ES
dc.contributor.funder U.S. Department of Defense es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES


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