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Vaclav BayerMember status icon

Technical Programme Manager
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I am a Data Engineer at the OUAnalyse team and currently also a technical lead of the project. As a part-time PhD student, I am investigating how Learning Analytics can be used to target awarding gaps, which is a severe problem occurring in Higher Education institutions across the whole UK. My main focus is currently the development of an Equity, Diversity and Inclusion dashboard to spotlight awarding gaps across diverse groups of students within their modules and help understand the driving factors of awarding gaps.

Keys: Learning Analytics; Predictive Learning Analytics; Recommender Systems; Equity, Diversity and Inclusion; Research software development

Team: Miriam Fernandez, Martin Hlosta, Paul Mulholland, Zdenek Zdrahal


OU Analyse


08 Feb 2024

07 Feb 2024

31 Jan 2024

18 Jul 2023

22 Nov 2022

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Publications | Visit External Site for Details  

Herodotou, C., Shrestha, S., Comfort, C., Fernandez, M., Andrews, H., Mulholland, P., Bayer, V., Maguire, C. and Lee, J. (2023) PVC-Challenges Response: A student facing dashboard for online undergraduate students

Publications | Visit External Site for Details  

Bonnin, G., Bayer, V., Fernandez, M., Herodotou, C., Hlosta, M. and Mulholland, P. (2023) CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness, 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal

Publications | Visit External Site for Details  

Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., , j., Fernandez, M., Daga, E. and Alani, H. (2022) Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Bayer, V., Hlosta, M. and Fernandez, M. (2021) Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?, AIED 2021; 22nd International Conference on Artificial Intelligence in Education, ONLINE from Utrecht

Publications | Visit External Site for Details  

Hlosta, M., Herodotou, C., Fernandez, M. and Bayer, V. (2021) Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM, Artificial Intelligence in Education, AIED 2021, Online / Utrecht, NL

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