Atrás Miriam Calvera defenses her PhD thesis

Miriam Calvera defenses her PhD thesis

19.11.2024

Imatge inicial

Miriam Calvera Isabal, under the supervision of Dr. Patricia Santos is defending today her Phd Thesis entitled:

“Empowering educators' inspiration during the learning design process with citizen science data and technology-enhanced learning”

The evaluation committee has been:
President: Dr. Juan Ignacio Asensio Pérez (Universidad de Valladolid)
Secretary: Dr. Jaime Piera Fernández (Institut de Ciències del Mar ICM-CSIC)
Member: Dr. Till Bruckermann (Leibniz Universität Hannover)

The publications derived from the PhD thesis are:

J1 Calvera-Isabal, M., Santos, P., Hoppe, H., & Schulten, C. (2023). How to automate the extraction and analysis of information for educational purposes. Comunicar, 31(74), 23-35. https://doi.org/10.3916/C74-2023-02

J2 Calvera-Isabal, M., Santos, P., & Hernández-Leo, D. (2023). Towards Citizen Science-Inspired Learning Activities: The Co-design of an Exploration Tool for Teachers Following a Human-Centred Design Approach. International Journal of Human–Computer Interaction, 1-22. https://doi.org/10.1080/10447318.2023.2201554

J3 Calvera-Isabal, M., Oesterheld, M., Peltoniemi, A. J., Santos P., Martinez F. and Golumbic Y. Understanding learning opportunities in citizen science: A triangulated approach. (Submitted to journal, currently under review).

J4 Calvera-Isabal, M. & Santos P. Inspiring Pedagogical Design with Citizen Science Online Data: A Comparative Study of Pre-service and In-service Teachers. (Submitted to journal, currently under review).

J5 Calvera-Isabal, M. & Santos P. Inspiring Teachers: Designing Learning Activities with Citizen Science Data as Textual Stimuli. (Submitted to journal, currently under review).

 

Publications in international conference proceedings:

C1 Calvera Isabal, M., Santos Rodríguez, P., & Hernández Leo, D. (2021). Citizen science, data science and education: how to support teacher’s inspiration during the learning activities design with technology enhance learning. CEUR Workshop Proceedings. https://hdl.handle.net/10230/49033

C2 Calvera-Isabal, M., Varas, N., & Santos, P. (2021). Computational Techniques for Data Science Applied to Broaden the Knowledge between Citizen Science and Education. International Association for Development of the Information Society. http://hdl.handle.net/10230/49216

C3 Oesterheld, M., Schmid-Loertzer, V., Calvera-Isabal, M., Amarasinghe, I., Santos, P., & Golumbic, Y. N. (2022). Identifying learning dimensions in citizen science projects. Proc. Sci, 418, 25-26. https://doi.org/10.22323/1.418.0070

 

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