Currently browsing: Items authored or edited by Vaclav Bayer https://orcid.org/0000-0001-8953-6335

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; Herodotou, Christothea; Fernandez, Miriam and Bayer, Vaclav (2021). Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM. In: 22nd International Conference on Artificial Intelligence in Education, AIED 2021, Lecture Notes in Artificial Intelligence, Springer.

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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), article no. 46.

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

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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.

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.

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.

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Knoth, Petr; Anastasiou, Lucas; Charalampous, Aristotelis; Cancellieri, Matteo; Pearce, Samuel; Pontika, Nancy and Bayer, Vaclav (2017). Towards effective research recommender systems for repositories. In: Open Repositories 2017, 26-30 Jun 2017, Brisbane, Australia.

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