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<title>Dataset of the Project PID2020-117111RB-I00 (UBU,  DATAHES and ADMIRABLE groups)</title>
<creator>Sáiz Manzanares, María Consuelo</creator>
<creator>Marticorena Sánchez, Raúl</creator>
<creator>Ochoa Orihuel, Javier</creator>
<creator>Alonso Martínez, Laura</creator>
<creator>Calvo Rodríguez, Alberto</creator>
<creator>Martin, Caroline Françoise</creator>
<creator>Carrillo Pérez, Celia</creator>
<creator>Escolar Llamazares, María del Camino</creator>
<creator>Rodríguez Arribas, Sandra</creator>
<creator>Serrano Gómez, Diego</creator>
<creator>Martín Antón, Luis Jorge</creator>
<creator>González Díez, Irene</creator>
<creator>Almeida, Leandro</creator>
<creator>Carbonero Martín, Miguel Ángel</creator>
<creator>Varela Vázquez, Carmen</creator>
<creator>Sáez García, Javier</creator>
<creator>Jiménez Eguizábal, Alfredo</creator>
<creator>Velasco Saiz, Rut</creator>
<subject>Advanced learning technologies</subject>
<subject>LMS</subject>
<subject>Machine learning</subject>
<subject>Self-regulated learning</subject>
<subject>Students</subject>
<subject>Chatbot</subject>
<subject>Higher education</subject>
<subject>Eye tracking</subject>
<subject>Neurophysiological measurements</subject>
<subject>Neuroengineering</subject>
<subject>Learning monitoring</subject>
<subject>Virtual labs</subject>
<subject>Galvanic skin response</subject>
<subject>Data fusion sensor technologies</subject>
<subject>THEME</subject>
<subject>Effective learning</subject>
<subject>Personalized learning</subject>
<description>This dataset contains the data generated during the execution of the project ““Asistentes de voz e inteligencia artificial en Moodle: un camino hacia una universidad inteligente” -SmartLearnUni-”, code PID2020-117111RB-I00, corresponding to the 2021 Call of “Convocatoria 2020 Proyectos de I+D+i - RTI Tipo B. Ministerio de Ciencia e Innovación y Universidades. Agencia Estatal de Investigación. Gobierno de España para el período 2021-2024".</description>
<date>2025-02-10</date>
<date>2025-02-10</date>
<date>2025-02-06</date>
<type>dataset</type>
<identifier>http://hdl.handle.net/10259/10197</identifier>
<identifier>10.71486/h2cg-2550</identifier>
<language>eng</language>
<relation>http://hdl.handle.net/10259/7345</relation>
<relation>http://hdl.handle.net/10259/9837</relation>
<relation>http://hdl.handle.net/10259/7331</relation>
<relation>http://hdl.handle.net/10259/7567</relation>
<relation>http://hdl.handle.net/10259/7753</relation>
<relation>http://hdl.handle.net/10259/7755</relation>
<relation>http://hdl.handle.net/10259/7756</relation>
<relation>http://hdl.handle.net/10259/10269</relation>
<relation>http://hdl.handle.net/10259/10270</relation>
<relation>http://hdl.handle.net/10259/10271</relation>
<relation>http://hdl.handle.net/10259/10272</relation>
<relation>http://hdl.handle.net/10259/10273</relation>
<relation>http://hdl.handle.net/10259/10274</relation>
<relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117111RB-I00/ES/ASISTENTES DE VOZ E INTELIGENCIA ARTIFICIAL EN MOODLE: UN CAMINO HACIA UNA UNIVERSIDAD INTELIGENTE/</relation>
<rights>http://creativecommons.org/licenses/by/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución 4.0 Internacional</rights>
<coverage>north=42.340833; west=-3.699722; name=Burgos, Spain</coverage>
<coverage>start=2021; end=2025</coverage>
<publisher>Universidad de Burgos</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>