learning analytics for exploratory and experiential learning - potential and pitfalls
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Manolis Mavrikis UCL Institute of Education, University College London
Learning Analytics for
Exploratory and Experiential Learning
Potentials and Pitfalls
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Support for Exploratory and Experiential Learning
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EXAMPLES FROM EU FP7 PROJECTS
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Karkalas, S., & Gutierrez-Santos, S. (2014). Enhanced JavaScript Learning using Code Quality Tools and a Rule-based System in the FLIP Exploratory Learning Environment. In IEEE ICALT
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Similarities in practice-based learning
across 3 contexts
• Flexible project choice– Student-led
– authentic discipline-related questions
• Collaborative
• Support student self-assessment
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- Electronics kit- Embedded electronics- Camera and motion sensing- Software- Server
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What can LA offer?
• Support the teacher/facilitator
• Increase learner awareness and encourage reflection– Learning how to learn (together)
– Learning how to make
• Help address research questions
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Classroom dynamics
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Gutierrez-Santos, S., Mavrikis, M., Geraniou E., Poulovassilis, A. (2012). Usage Scenarios and Evaluation of Teacher Assistance Tools for Exploratory Learning Environments (Under review) Available at http://www.dcs.bbk.ac.uk/research/techreps/2012/bbkcs-12-02.pdf
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Goal achievement
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Educational Data Mining and Visualisations
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Mavrikis, M., Gutierrez Santos, S., Poulovassilis, A., Zhu, Z. (2014) Indicator Visualization for Adaptive Exploratory Learning Environments. EDM 2014
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Bayesian networks from data
degree of goal
completeness
time in
related pagestime spent
on attempts
need for help
previous
performancedifficulty
features
prediction
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M. Mavrikis (2010) Modelling Student Interactions in Intelligent Learning Environments: Constructing Bayesian Networks from Data. In International Journal on Artificial Intelligence Tools (IJAIT), 19(6):733--753.
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Teacher Visualization
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Barriers to achieving LA potential
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Literacy on decision-making with LA
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The EU projects mentioned here have received funding from the European’s Seventh Framework Programme
Acknowledgements
Sokratis Karkalas
PELARS (UCL-IOE)
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Alice Hansen Wayne HolmesiTalk2Learn
Daniel Spikol(Malmo)
Lorna Stokes (ENOLL)
Emanuele Ruffaldi(SSSA)
David Cuartielles(Arduino)
KaterinaAvramides
MutluCukurova
Rose Luckin
LKL (UCL –IOE)
LKL –(Birkbeck)
Sergio Gutierrez Alex Poulovassilis
MinaVasalou