Prof Zdenek Zdrahal

Emeritus Professor

My research interests include the application of AI in design, case based reasoning, information extraction, predictive modelling, machine learning and knowledge sharing.

Keywords

Artificial Intelligence, Case Based Reasoning, Design, Knowledge Sharing, Machine Learning, Predictive Modelling


Publications

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.

Herodotou, Christothea , Rienties, Bart , Hlosta, Martin, Boroowa, Avinash , Mangafa, Chrysoula and Zdrahal, Zdenek(2020). The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study. Internet and Higher Education, 45, article no. 100725.

Herodotou, Christothea , Hlosta, Martin, Boroowa, Avinash , Rienties, Bart , Zdrahal, Zdenek and Mangafa, Chrysoula (2019). Empowering online teachers through predictive learning analytics. British Journal of Educational Technology, 50(6) pp. 3064–3079.

Herodotou, Christothea , Rienties, Bart , Boroowa, Avinash , Zdrahal, Zdenek and Hlosta, Martin(2019). A large-scale implementation of Predictive Learning Analytics in Higher Education: the teachers' role and perspective. Educational Technology Research and Development, 67(5) pp. 1273–1306.

Hlosta, Martin, Kocvara, Jakub , Beran, David and Zdrahal, Zdenek(2019). Visualisation of key splitting milestones to support interventions. In: Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19).

Kuzilek, Jakub , Vaclavek, Jonas,Fuglik, Viktor and Zdrahal, Zdenek(2018). Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data. In: Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning (Pammer-Schindler, Victoria; Pérez-Sanagustín, Mar; Drachsler, Hendrik; Elferink, Raymond and Maren, Scheffel eds.), Lecture Notes in Computer Science, Springer, pp. 166–171.

Zdrahal, Zdenek, Hlosta, Martin and Kuzilek, Jakub (2016). Analysing performance of first year engineering students. In: Learning Analytics and Knowledge: Data literacy for Learning Analytics Workshop, 26 Apr 2016, Edinburgh.

Vaclavek, Jonas, Kuzilek, Jakub , Skocilas, Jan,Zdrahal, Zdenek and Fuglik, Viktor(2018). Learning Analytics Dashboard Analysing First-Year Engineering Students. In: Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning (Pammer-Schindler, Viktoria; Pérez-Sanagustín, Mar; Drachsler, Hendrik; Elferink, Raymond and Scheffel, Maren eds.), Lecture Notes in Computer Science, Springer, pp. 575–578.

Huptych, Michal , Hlosta, Martin, Zdrahal, Zdenek and Kocvara, Jakub (2018). Investigating Influence of Demographic Factors on Study Recommenders. In: Artificial Intelligence in Education (Rosé, Carolyn Penstein; Martínez-Maldonado, Roberto; Hoppe, H. Ulrich; Luckin, Rose; Mavrikis, Manolis; Porayska-Pomsta, Kaska; McLaren, Bruce and du Boulay, Benedict eds.), Lecture Notes in Artificial Intelligence, Springer, Cham, pp. 150–154.