Member

Zdenek Zdrahal

Emeritus Professor

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Publications

Hillaire, G., Rienties, B., Fenton-O’Creevy, M., Zdrahal, Z. and Tempelaar, D. (2022). Incorporating student opinion into opinion mining: A student-sourced sentiment analysis classifier. In: Rienties, Bart; Hampel, Regine; Scanlon, Eileen and Whitelock, Denise eds. Open World Learning: Research, Innovation and the Challenges of High-Quality Education. Routledge Research in Digital Education and Educational Technology. New York, USA: Routledge, pp. 171–185. https://oro.open.ac.uk/84217/.

Hlosta, M., Bayer, V. and Zdrahal, Z. (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. https://oro.open.ac.uk/69302/.

Hlosta, M., Zdrahal, Z., Bayer, V. and Herodotou, C. (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. https://oro.open.ac.uk/69150/.

Herodotou, C., Rienties, B., Hlosta, M., Boroowa, A., Mangafa, C. and Zdrahal, Z. (2020). The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study. Internet and Higher Education, 45 https://oro.open.ac.uk/68953/.

Herodotou, C., Hlosta, M., Boroowa, A., Rienties, B., Zdrahal, Z. and Mangafa, C. (2019). Empowering online teachers through predictive learning analytics. British Journal of Educational Technology, 50(6), pp. 3064–3079. https://oro.open.ac.uk/62192/.

Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z. and Hlosta, M. (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. https://oro.open.ac.uk/62191/.

Hlosta, M., Kocvara, J., Beran, D. and Zdrahal, Z. (2019). Visualisation of key splitting milestones to support interventions. In: VISLA 2019: Workshop on Visual Approaches to Learning Analytics, 05 Mar 2019, Tempe, AZ, USA. https://oro.open.ac.uk/59341/.

Kuzilek, J., Vaclavek, J., Fuglik, V. and Zdrahal, Z. (2018). Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data. In: Lifelong Technology- Enhanced Learning, 3-5 Sep 2018, Leeds. https://oro.open.ac.uk/58622/.

Zdrahal, Z., Hlosta, M. and Kuzilek, J. (2016). Analysing performance of first year engineering students. In: Learning Analytics and Knowledge: Data literacy for Learning Analytics Workshop, 26 Apr 2016, Edinburgh. https://oro.open.ac.uk/58597/.

Vaclavek, J., Kuzilek, J., Skocilas, J., Zdrahal, Z. and Fuglik, V. (2018). Learning Analytics Dashboard Analysing First-Year Engineering Students. In: Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, 3-5 Sep 2018, Leeds. https://oro.open.ac.uk/58623/.

Huptych, M., Hlosta, M., Zdrahal, Z. and Kocvara, J. (2018). Investigating Influence of Demographic Factors on Study Recommenders. In: 19th International Conference on Artificial Intelligence in Education (AIED 2018) Artificial Intelligence in Education, 27-30 Jun 2018, London. https://oro.open.ac.uk/56293/.

Hlosta, M., Zdrahal, Z. and Zendulka, J. (2018). Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data. Knowledge-Based Systems, 160 pp. 278–295. https://oro.open.ac.uk/56292/.

Kuzilek, J., Hlosta, M. and Zdrahal, Z. (2017). Open University Learning Analytics dataset. Scientific Data, 4 https://oro.open.ac.uk/53873/.

Hlosta, M., Zdrahal, Z. and Zendulka, J. (2017). Ouroboros: early identification of at-risk students without models based on legacy data. In: LAK17 - Seventh International Learning Analytics & Knowledge Conference, 13-17 Mar 2017, Vancouver, BC, Canada. https://oro.open.ac.uk/49731/.

Huptych, M., Bohuslavek, M., Hlosta, M. and Zdrahal, Z. (2017). Measures for recommendations based on past students' activity. In: LAK17 Learning Analytics & Knowledge Conference, 13-17 Mar 2017, Vancouver, BC, Canada. https://oro.open.ac.uk/49661/.

Herodotou, C., Gilmour, A., Boroowa, A., Rienties, B., Zdrahal, Z. and Hlosta, M. (2017). Predictive modelling for addressing students’ attrition in Higher Education: The case of OU Analyse. In: CALRG Annual Conference 2017, 14-16 Jun 2017, The Open University, Milton Keynes, UK. https://oro.open.ac.uk/49470/.

Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M. and Naydenova, G. (2017). Implementing predictive learning analytics on a large scale: the teacher's perspective. In: 7th International Learning Analytics & Knowledge Conference, 13-17 Mar 2017, Vancouver, Canada. https://oro.open.ac.uk/48922/.

Rienties, B., Cross, S. and Zdrahal, Z. (2016). Implementing a Learning Analytics Intervention and Evaluation Framework: what works? In: Kei Daniel, Ben and Butson, Russell eds. Big Data and Learning Analytics in Higher Education: Current Theory and Practice. Heidelberg: Springer, pp. 147–166. https://oro.open.ac.uk/45023/.

Herrmannova, D., Hlosta, M., Kuzilek, J. and Zdrahal, Z. (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 Jun 2015, Barcelona, Spain. https://oro.open.ac.uk/44019/.

Kuzilek, J., Hlosta, M., Herrmannova, D., Zdrahal, Z., Vaclavek, J. and Wolff, A. (2015). OU Analyse: analysing at-risk students at The Open University. Learning Analytics Review, LAK15-1 pp. 1–16. https://oro.open.ac.uk/42529/.

View all 12 Tech Reports