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Martin Hlosta


Understanding the BAME attainment gap at the OU by means of quantitative and qualitative data analytics

  • Miriam FernandezMartin HlostaTracie Farrell
  • Highly Commended at the 6th eSTEeM Scholarship Projects of the Year Awards 2023.

    November 2020 to August 2022

    Disproved predictions of at-risk students: Some students fail despite doing well, others succeed despite predicted as at-risk

  • Martin Hlosta
  • Most of the research around the identification of at-risk students and the prediction of their performance using Machine Learning focuses on developing the most accurate model.

    April 2019 to October 2020