Learning by seeing—associative learning of visual features ...
Learning analytics for learners - Ways of seeing learning
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Transcript of Learning analytics for learners - Ways of seeing learning
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Learning Analytics for Learners- Ways of seeing LearningMary LoftusNUI Galway
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Central to education’s purpose is “the coming into presence of unique individual beings”Education “spaces might open up for uniqueness to come into the world”
– Gert Biesta – ‘Good Education in an Age of Measurement: Ethics, Politics, Democracy’
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If we can make learning more visible, we can...
• Reduce the need for formal testing and examinations
• More Problem-based Learning Assessment
• More Formative Feedback for Students
• Model Student’s Conceptual Understanding
• Support Metacognition
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What do you mean - ways of seeing learning?• Piech (2015) - Deep Knowledge Tracing - looked at how students learn to program,
modelled their learning path, identified where they got stuck, how they got unstuck (Piech 2015)
• Blikstein, Baker & Berland (2014) used Educational Data Mining (EDM) in informal learning spaces such as ‘maker spaces’ and programming clubs to measure and log the process of creative problem solving
• PELARS Project (2015) developed a framework for Learning Analytics for Maker Spaces and creative problem solving (Cukurova, Spikol et al 2015)
• Kitto et al (2015) developed a Natural Language Processing tool which automatically classified student discussion posts according to the Community of Inquiry model (Kitto, Gasevic et al 2015)
• Lin (2013) used data mining to provide a personalized learning path in a creativity programme
• Buckingham Shum & Deakin Crick (2016) looked at measuring features like Mindful Agency, Sensemaking, Creativity, Curiosity, Belonging, Collaboration, Hope and Optimism, and Orientation to Learning
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Ways of Seeing Learning – the research proposal• 1st Yr Cohort of BSc in Computing students
• Students using a system to capture, and learn from, their own learning data as part of their course work
• Data Literacy capability building
• Use of Machine Learning to classify and model aspects of learning as it happens
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“For apart from inquiry, apart from the praxis, individuals cannot be truly human.
Knowledge emerges only through invention and re-invention, through the restless, impatient, continuing, hopeful inquiry human beings pursue in the world, with the world, and with each other.”
Paulo Freire
“Action can never manifest through a predictable, deterministic series of consequences, since the subject, by acting, is placed within a complicated web of relationships which cannot be predicted before hand. In the same sense, Action is irreversible.”
Hannah Arendt