Unlocking the Potential of IoT for Interactive and Collaborative Learning: Case Studies in Higher Education

Tabuenca Archilla, Bernardo ORCID: https://orcid.org/0000-0002-1093-4187, Leo Ramírez, Alejandro ORCID: https://orcid.org/0000-0002-6383-8957, Uche Soria, Manuel ORCID: https://orcid.org/0000-0002-0234-0047, Tovar Caro, Edmundo ORCID: https://orcid.org/0000-0003-2929-659X, Greller, Wolfgang ORCID: https://orcid.org/0000-0002-3571-0593, Rodosthenous, Christos ORCID: https://orcid.org/0000-0003-2065-9200 and Mavrotheris, Efstathios (2024). Unlocking the Potential of IoT for Interactive and Collaborative Learning: Case Studies in Higher Education. En: "26th International Conference on Interactive Collaborative Learning (ICL2023)", 26-30 Sep 2023, Madrid, España. ISBN 978-3-031-53022-7. pp. 435-446. https://doi.org/10.1007/978-3-031-53022-7_43.

Descripción

Título: Unlocking the Potential of IoT for Interactive and Collaborative Learning: Case Studies in Higher Education
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 26th International Conference on Interactive Collaborative Learning (ICL2023)
Fechas del Evento: 26-30 Sep 2023
Lugar del Evento: Madrid, España
Título del Libro: Towards a Hybrid, Flexible and Socially Engaged Higher Education
Fecha: 7 Febrero 2024
ISBN: 978-3-031-53022-7
Nombre de la Serie: Lecture Notes in Networks and Systems
Volumen: 3
Número: 901
Materias:
Palabras Clave Informales: Digital data competence, Environmental awareness, Higher Education, Internet of Things, Learning Analytics, Serious games, Smart Learning Environments
Escuela: E.T.S.I. de Sistemas Informáticos (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Ninguna

Texto completo

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Resumen

This paper presents two case studies that explore the integration of environmental awareness and IoT technology in interactive and collaborative learning environments. In the first case study, a comprehensive assessment was conducted to measure the digital data competence of university students in relation to their understanding of standards and regulations for healthy and energy efficient learning spaces. The assessment encompassed their knowledge of relevant variables for classroom health, such as temperature, humidity, CO2 levels, and lighting, as well as their familiarity with recommended energy-saving thresholds. The results high-lighted gaps in digital data competence among the participants, indicating a need for targeted interventions to enhance their understanding and awareness of these standards. The results of the second case study demonstrated the effectiveness of the serious game in promoting student engagement and facilitating their understanding of the importance of adhering to recommended thresholds. By integrating digital data competence, and IoT technology, universities can empower students to become active participants in creating healthy and energy-efficient classrooms. Furthermore, by utilizing data from IoT systems, students can enhance their skills in data management, machine learning, artificial intelligence, and other data processing techniques. This integration provides them with valuable hands-on experience in working with real-world data, analyzing patterns, and making data-driven decisions.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Comunidad de Madrid
S2018/TCS-4307
e-Madrid-CM
Sin especificar
Investigación y desarrollo de tecnologías educativas en la Comunidad de Madrid.
Gobierno de España
TIN2017–85179-C3–3-R
SmartLET
Sin especificar
Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments
Gobierno de España
PID2020-112584RB-C33
H2O LEARN UPF
Sin especificar
APRENDIZAJE HIBRIDO Y ORIENTADO AL SER HUMANO: ANALITICA DEL APRENDIZAJE CONFIABLE Y CENTRADA EN LA PERSONA PARA LA EDUCACION HIBRIDA
Gobierno de España
MDM-2015–0502
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 87223
Identificador DC: https://oa.upm.es/87223/
Identificador OAI: oai:oa.upm.es:87223
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10303115
Identificador DOI: 10.1007/978-3-031-53022-7_43
URL Oficial: https://link.springer.com/chapter/10.1007/978-3-03...
Depositado por: iMarina Portal Científico
Depositado el: 30 Ene 2025 15:06
Ultima Modificación: 08 Feb 2025 01:45