Vaclav Bayer

Full-Stack Web Developer


Publications

Herodotou, Christothea, Shrestha, Sagun, Comfort, Catherine, Fernandez, Miriam, Andrews, Heshan, Mulholland, Paul, Bayer, Vaclav, Maguire, Claire and Lee, John ,(2023). PVC-Challenges Response: A student facing dashboard for online undergraduate students. Quality Enhancement and Innovation, The Institute of Educational Technology, The Open University, Milton Keynes, UK..

Bonnin, Geoffray, Bayer, Vaclav, Fernandez, Miriam, Herodotou, Christothea, Hlosta, Martin and Mulholland, Paul ,(2023). CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness. In: 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, 4-8 Sep 2023, Aveiro, Portugal.

Reyero Lobo, Paula, Mensio, Martino, Pavon Perez, Angel, Bayer, Vaclav, Kwarteng, Joseph, Fernandez, Miriam, Daga, Enrico and Alani, Harith ,(2022). Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish. In: Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), 6-9 Jun 2022, Atlanta, Georgia.

Bayer, Vaclav ,(2021). Targeting degree-awarding gap across ethnicities through means of OUAnalyse predictions. Postgraduate Research Poster Competition, The Open University.

Rets, Irina, Herodotou, Christothea, Bayer, Vaclav, Hlosta, Martin and Rienties, Bart ,(2021). Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students. International Journal of Educational Technology in Higher Education, 18(1),

Hlosta, Martin, Herodotou, Christothea, Fernandez, Miriam and Bayer, Vaclav ,(2021). Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM. In: Artificial Intelligence in Education, AIED 2021, 14-18 Jun 2021, Online / Utrecht, NL.

Bayer, Vaclav, Hlosta, Martin and Fernandez, Miriam ,(2021). Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? In: AIED 2021; 22nd International Conference on Artificial Intelligence in Education, 14-18 Jun 2021, ONLINE from Utrecht.

Hlosta, Martin, Bayer, Vaclav and Zdrahal, Zdenek ,(2020). Mini Survival Kit: Prediction based recommender to help students escape their critical situation in online courses. In: Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), 23-27 Mar 2020, Frankfurt am Main, Germany.

Hlosta, Martin, Zdrahal, Zdenek, Bayer, Vaclav and Herodotou, Christothea ,(2020). Why Predictions of At-Risk Students Are Not 100% Accurate? Showing Patterns in False Positive and False Negative Predictions. In: Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), 23-27 Mar 2020, Frankfurt am Main, Germany.

Pontika, Nancy, Knoth, Petr, Anastasiou, Lucas, Charalampous, Aristotelis, Cancellieri, Matteo, Pearce, Samuel and Bayer, Vaclav ,(2017). The uptake of the CORE recommender in repositories. OpenRepositories2017.