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

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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