The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.

Showing all 10 Publications linked to the ou analyse project

external website icon

OU Analyse

The OU Analyse project is piloting new machine learning based methods for early identification of students who are at risk of failing.

A list of such students is communicated weekly to the module and Student Support teams to help them consider appropriate support. The overall objective is to significantly improve the retention of OU students. This is ‘research-led’ as the project builds on previous experience from the Jisc funded Retain in 2010/2011 and the joint OU-Microsoft Research Cambridge project in 2012/2013.

The work is innovative in that it is applying machine learning techniques to two types of data:...


Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M. and Zendulka, Z. (2018) Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge Based Systems, Elsevier

Topics: classification methods

Publications related to: classification methods

Hlosta, M.

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM, url: http://dl.acm.org/citation.cfm?id=3027449

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

information loss

Publications related to: information loss

Hlosta, M.

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

education

Publications related to: education

Hlosta, M.

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Kocvara, J., Beran, D. and Zdrahal, Z. Visualisation of key splitting milestones to support interventions, VISLA 2019: Workshop on Visual Approaches to Learning Analytics, Tempe, AZ, USA, url: http://augment.cs.kuleuven.be/visla19/wp-content/uploads/2019/02/VISLA19_paper_4.pdf

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM, url: http://dl.acm.org/citation.cfm?id=3027449

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Herrmannova, D., Vachova, L., Kuzilek, J., Zdrahal, Z. and Wolff, A. Modelling student online behaviour in a virtual learning environment, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis, url: http://ceur-ws.org/Vol-1137/LA_machinelearning_submission_4.pdf

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

classification models

Publications related to: classification models

Hlosta, M.

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM, url: http://dl.acm.org/citation.cfm?id=3027449

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

curricula

Publications related to: curricula

Hlosta, M.

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

data privacy

Publications related to: data privacy

Hlosta, M.

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496

learning

Publications related to: learning

Hlosta, M.

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Kocvara, J., Beran, D. and Zdrahal, Z. Visualisation of key splitting milestones to support interventions, VISLA 2019: Workshop on Visual Approaches to Learning Analytics, Tempe, AZ, USA, url: http://augment.cs.kuleuven.be/visla19/wp-content/uploads/2019/02/VISLA19_paper_4.pdf

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM, url: http://dl.acm.org/citation.cfm?id=3027449

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Herrmannova, D., Vachova, L., Kuzilek, J., Zdrahal, Z. and Wolff, A. Modelling student online behaviour in a virtual learning environment, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis, url: http://ceur-ws.org/Vol-1137/LA_machinelearning_submission_4.pdf

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge-Based Systems, 160, pp. 278-295, Elsevier, url: https://www.sciencedirect.com/science/article/pii/S0950705118303496