Ariel Ortiz-Beltrán Defends Doctoral Thesis on Learning Analytics in Higher Education
Ariel Ortiz-Beltrán Defends Doctoral Thesis on Learning Analytics in Higher Education

On Monday, September 29th, the TIDE member Ariel Ortiz-Beltrán successfully defended his PhD thesis, earning his doctoral degree. The dissertation focuses on the critical intersection of pedagogical strategy and data analytics within university settings.
The thesis, titled "The interplay between Learning Design and Learning Analytics Indicators in Higher Education," was conducted under the supervision of Dra. Davinia Hernández-Leo.
The members of the examining committee were:
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President: Dr. Carlos Delgado Kloos (Universidad Carlos III de Madrid)
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Secretary: Dra. Lourdes Guàrdia Ortiz (Universitat Oberta de Catalunya)
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Member: Dr. Bart Rienties (The Open University)
Summary of the Doctoral Research
Dr. Ortiz-Beltrán's research addresses the fragmented way Higher Education Institutions often analyze educational data. Traditionally, institutional efforts have examined student satisfaction, academic performance, and digital platform usage as separate domains. This dissertation argues for a more integrated approach.
The central research question of the thesis is: How can Institutional Analytics bridge Learning Design and Learning Analytics (LD-LA) to generate actionable insights in Higher Education? Through a series of case studies at a large Spanish university from 2018 to 2022, the work examines the relationship between pedagogical design decisions and key student indicators.
The dissertation provides three main contributions: Design principles for institutional analytics that align learning design with learning analytics indicators. A set of indicators and techniques for implementing LD-LA Institutional Analytics. Evidence demonstrating the benefits of an integrated LD-LA institutional analytics approach.
The research concludes that for Learning Analytics to be practically applicable, it must incorporate pedagogical context. This integrated, data-informed model can help generate more meaningful insights for institutional decision-making.
Associated Publications
The research presented in the dissertation has contributed to a number of academic publications in journals and conference proceedings.
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Ortiz-Beltrán, A., Hernandez-Leo, D., & Amarasinghe, I. (2023). Surviving and thriving: How changes in teaching modalities influenced student satisfaction before, during and after COVID-19. Australasian Journal of Educational Technology, 39(6).
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Ortiz-Beltrán, A., Marques, F., & Hernández-Leo, D. (2025). Exploring the Complex Analytics Interplay of LMS Design, Usage, Academic Outcomes, and Perceived Workload: A Case Study. In: EC-TEL 2025. Lecture Notes in Computer Science, vol 16064. Springer, Cham.
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Ortiz-Beltrán, A. & Hernández-Leo, D. (2025). Extracting insightful features from LMS data: Bridging Learning Design Analytics and Learning Analytics. Proceedings from the Learning Analytics Summer Institute Spain 2025.
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Marques, F., Ortiz-Beltrán, A., Hernández-Leo, D., & Castillo, C. (2025) Institutional, Academic, and Learning Analytics: A Bibliometric Study. The 25th IEEE International Conference on Advanced Learning Technologies (ICALT).
Additional derived papers are under review.
For related work, check also Francielle Marquez PhD research here.