Francielle Marques defends her doctoral thesis: Towards Responsible Higher Education Institutional Analytics
Francielle Marques defends her doctoral thesis: Towards Responsible Higher Education Institutional Analytics
Francielle Marques defends her doctoral thesis: Towards Responsible Higher Education Institutional Analytics
Today is the defense of the doctoral thesis:
Francielle Marques Do Nascimento
Towards Responsible Higher Education Institutional Analytics: A Study of Biases and Dependencies on Student Satisfaction
Supervisors: Davinia Hernández-Leo and Carlos Alberto Castillo Ocaranza
Abstract
Institutional analytics is a growing field of research and practice that promotes data-driven decision-making in higher education institutions. Through several data sources, institutions perform analyses with different purposes to provide actionable insight to assess and improve decisions in academic management. Student satisfaction surveys play an important role in the field of institutional analytics, providing valuable insights to assess the quality of courses and inform academic promotions. However, several studies have shown the presence of biases and influential factors on student satisfaction that may lead to unfair decisions in higher education. In this context, this doctoral thesis states the importance of understanding potential biases considering different factors influencing survey results. The doctoral thesis investigates the role of gender, language, grades, and learning design on student satisfaction survey data from the case of Universitat Pompeu Fabra, Barcelona. As a result, the thesis presents a comprehensive approach highlighting the need for institutional analytics to continuously consider potential biases and dependencies by supporting generative uncertainty to promote responsible institutional analytics and facilitate institutional improvement.
Date: July 18th, 2025 - 11.00 h
Room: 55.309 (Poblenou Campus - Tànger Building)
Evaluation board: Juan Manuel Dodero (U. Cádiz), Nati Cabrera (UOC), Patricia Santos (UPF)
The publications related to the thesis are:
Marques, Francielle. Hernández-Leo, Davinia. Castillo, Carlos. Measuring gender bias in student satisfaction in higher education: A cross-department study (2024). Cogent Education, 11(1).
Marques, Francielle. Hernández-Leo, Davinia. Castillo, Carlos. Beyond bias in student satisfaction surveys: exploring the role of grades and satisfaction with the learning design (2025). Journal of New Approaches in Educational Research 14(9).
Marques, Francielle. Hernández-Leo, Davinia. Castillo, Carlos. Beyond bias: the interplay between grades and student satisfaction with learning design (2024). 3r International Congress: Education and Knowledge. Alicante, Spain.
Marques, Francielle. Hernández-Leo, Davinia. Castillo, Carlos. Trenchs-Parera, Mireia. Towards Caring Institutional Analytics: A case study illustrating the exploration of language biases. (2025) 13th International Congress on University Teaching and Innovation (CIDUI). Barcelona, Spain.
Marques, Francielle, Ortiz-Beltran, Ariel, Hernandez-Leo, Davinia, & Castillo, Carlos (2025). Institutional, academic, and learning analytics: A bibliometric study. In Proceedings of the 25th IEEE International Conference on Advanced Learning Technologies (ICALT), Taiwan. IEEE Computer Society.
Others under review.
TIDE related research includes:
Oritiz, A., Hernández-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), 72-88.