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