Learning Analyticsfoundation of mass personalized education
Many studentsIncreasing dataHow can you personalize?
Learning Analytics is the measurement, collection,analysis and reporting of data about learners and theircontexts, for purposes of understanding and optimizinglearning and the environment in which it occurs.
LearnersDataAnalysisInterventionThe Learning Analytics cycleDoug Clow. 2012. The learning analytics cycle: closing the loop effectively.In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK 12)
Arnold, K. E. (2010). Signals: Applying Academic Analytics.Educause Quarterly, 33(1), n1Purdue Course Signals
Browsing behaviorChat/forum/blog postsComments on chat/forum/blog postsLikes/ratingsAnswers/mistakes in quizzesTime spent on taskRequesting hintsSharing of resourcesSocial interactionsDrafts of end productsLocationBody sensorsEnvironment/contextVideo recording of the learningPossible data sources
Recommendations for materialRecommendations for pupils / mentorsPrediction of students at riskFinding bottlenecks in contentUpdating cognitive / user modelsAnalysing video control behaviorSocial Network AnalysisDiscourse AnalyticsHead pose trackingTracking speech at a tableTypical analysis
ReflectionShowing a prediction of successOverview of what you didOverview of what the group didInsight in the group processSuggestionLearning materialIntelligent CurriculumPotential partnersPotential mentorsBetter learning approachIntervention via student
ReflectionShowing a prediction of successOverview of what a student didOverview of what the group didInsight in the group processSuggestionNew learning materialPotential partnersPotential mentorsBetter teaching approachIntervention via teacher
Adaptive learning materialAdaptive navigationAdaptive testsClean-up of bad materialAutomatic intervention