Use of Multimodal Learning Analytics and Biometric Data as a Contribution to the Development of Pedagogical Activities in Entrepreneurship Area-Reference-Cited by-同舟云学术

Use of Multimodal Learning Analytics and Biometric Data as a Contribution to the Development of Pedagogical Activities in Entrepreneurship Area

Published:2024 Issue: Volume: Page:849-859
ISSN:2196-4963
Container-title:Lecture Notes in Educational Technology
language:en
Short-container-title:

Author:

Ruiz-Ramirez J. A.,Ponce-Naranjo D.,Calderón-Gurubel J. E.,González-Díaz K. A.,López-Andrade A. D.,Rivera-Cerros E. A.,Martínez-Giorgetti J. E.,Moreno M. A. Ramírez

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-1814-6_83

Reference37 articles.

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2. Eradze, M., Rodríguez-Triana, M. J., Milikic, N., Laanpere, M., Tammets, K.: Contextualising learning analytics with classroom observations: a case study. Interact. Des. Archit(S) 44, 71–95 (2020)

3. Celdrán, A., Ruipérez-Valiente, J., Clemente, F., Rodríguez-Triana, M., Shankar, S., Pérez, G.M.: A scalable architecture for the dynamic deployment of multimodal learning analytics applications in smart classrooms. Sensors 20(10), 2923 (2020)

4. Giannakos, M., et al.: CrossMMLA in practice: collecting, annotating, and analyzing multimodal data across spaces. In: 10th International Learning and Analytics Conference, vol. 2610, p 1613. LAK 2020. CEUR Workshop Proceedings, virtual (2020)

5. Cosentino, G., Giannakos, M.: Multisensory interaction and analytics to enhance smart learning environments: a systematic literature review. IEEE Trans. Learn. Technol. 16(3), 414–430 (2023)