Category: Learning analytics
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OpenLearn Create analytics using R
I was invited to speak at the Open TEL Learning at Scale Special Interest Group about my work on the Fleming project. I am the Data Analytics lead of the Fleming fund project at the Open University, which is also the global learning lead for Fleming. In my presentation, I focused on how I compile…
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PhD studentships 2021
Every year, the Open University announces several opportunities to apply for PhD and EdD studentships. These grants typically cover any study fees, provide a monthly tax-free bursary, and on top of that a research training grant. If you are interested in Educational Technology, there are currently two good opportunities for you to apply for a…
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Text Analytics to Improve the Student Experience
It takes about two hours to skim read all student comments of a single popular module of the Open University. But, reading alone is not enough to make sense of all those comments, which is a process that takes much longer. Everyone who has ever done a content analysis knows how much effort it takes…
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Published: Automated Analysis of Reflection in Writing
The International Journal of Artificial Intelligence in Education just published my paper on the Automated Analysis of Reflection in Writing. It is currently freely available at Springer. Find it here: https://doi.org/10.1007/s40593-019-00174-2 The paper brings together much of the research into this new area of research that seeks to understand whether automated methods can be used…
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PhD Studentships in the Faculty of Wellbeing, Education and Language Studies
My institute – the Institute of Educational Technology – and the other Schools within the Faculty of Wellbeing, Education and Language Studies (WELS) are offering full-time funded PhD studentships for an October 2019 start. The PhD programme is located in an environment that supports world-leading quality research. In the latest Research Excellence Framework (REF 2014)…
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PhD grants: Technology enhanced learning and learning analytics
Get one of the the Grand Union Innovation in Learning Doctoral Training Partnerships PhD Studentships with the the Institute of Educational Technology and the Faculty of Wellbeing, Education, and Language Studies at the Open University of UK. This programme is dedicated to supporting research into innovative approaches to learning, teaching and assessment. Its focus is…
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Using Qualitative Data for Driving Decision-Making at Scale QAA Event
On behalf of the QAA in Scotland, the University of Edinburgh invited all Universities of Scotland to present and provide input to the ‘Using Qualitative Data for Driving Decision-Making at Scale’ event on the 28th of November 2018 (https://www.ed.ac.uk/academic-services/quality/enhancement-themes-overview/evidence-based-enhancement). Professor Tina Harrison, the Assistant Principal Academic Standards and Quality Assurance of the University of Edinburgh,…
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Research Evidence on the Use of Learning Analytics: Implications for Education Policy
The EU published our report on ‘Research Evidence on the Use of Learning Analytics: Implications for Education Policy’: https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/research-evidence-use-learning-analytics-implications-education-policy From the abstract: Learning analytics is an emergent field of research that is growing fast. It takes advantage of the last decade of e-learning implementations n education and training as well as of research and development…
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Lightning presentation at the Lace SoLAR Flare event
I gave a short presentation about ReflectR during the Lace SoLAR Flare event about “ReflectR – Analysing reflective thinking in texts” on Friday 24 October 2014. The event took place at the Open University and was under auspices of the Society for Learning Analytics Research (SoLAR) and organized by the LACE project Learning Analytics Community…
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ReflectR – a tool to detect reflective thinking in texts
In my PhD I am researching methods to to detect reflection automatically . Based on a large body of sentences, which were manually labelled as either reflective or descriptive, I tested several text classification algorithms. Each classifier generates a model, which can be used to classify unseen text. Based on these models I built ReflectR.…