Doctoral Education Technologies

Doctoral education suffers from two widespread global problems: the high dropout rates of doctoral programs (which is even higher for distance or part-time students) and the unusually high prevalence of mental health and well-being issues (which affect hundreds of thousands of doctoral students globally).

These are precisely the intertwined societal challenges, for which we still do not have scalable solutions (socio-educational or technological), that this line of research tries to tackle. We believe that recent advances in artificial intelligence (AI) and related disciplines (such as Learning Analytics, LA), along with carefully designed training actions, could offer scalable and customized solutions to support doctoral students in facing these challenges, taking into account the uniqueness of each doctoral process.

Publications

• Prieto, L. P., Rodríguez-Triana, M. J., Dimitriadis, Y., Pishtari, G., & Odriozola-González, P. (2023). Designing Technology for Doctoral Persistence and Well-Being: Findings from a Two-Country Value-Sensitive Inquiry into Student Progress. In O. Viberg, I. Jivet, P. J. Muñoz-Merino, M. Perifanou, & T. Papathoma (Eds.), Responsive and Sustainable Educational Futures (Vol. 14200, pp. 356–370). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42682-7_24 
• Prieto, L. P., Pishtari, G., Dimitriadis, Y., Rodríguez-Triana, M. J., Ley, T., & Odriozola-González, P. (2023). Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education. JUCS – Journal of Universal Computer Science, 29(9), 1033–1068. https://doi.org/10.3897/jucs.94067 

Training events

• Progress in the doctorate. Participatory workshop for doctoral supervisors at the University of Valladolid Doctoral School. Valladolid (Spain). February 2024.
• “A Happy PhD”: Productivity, progress and well-being in the doctorate. Doctoral course at the University of Valladolid Doctoral School. Valladolid (Spain). January 2024.