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Learning Analytics

Learn how learning analytics can measure, analyze, and report data about learners and their contexts to optimize learning environments. Discover its use for individual learners' reflection, predicting support needs, planning interventions, improving courses, and guiding institutional decisions.

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Learning Analytics

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  1. LearningAnalytics

  2. Definition • Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs • Why not Educational Data Mining ?: used when aimed at governments, funding agencies, and administrators instead of learners and faculty

  3. Forwhat ? • For individual learners to reflect on their achievements and patterns of behavior in relation to others • as predictors of students requiring extra support and attention • to help teachers and support staff plan supporting interventions with individuals and groups • for functional groups such as course team seeking to improve current courses or develop new curriculum offerings • for institutional administrators taking decisions on matters such as marketing and recruitment or efficiency and effectiveness measures

  4. Motivation • increasing interest in 'big data' • The rise of online education-> increase in digital data regarding student background and learning log data (from VLEs). • optimisationof systems to support learning : how we can know whether a student is engaged/understanding if we can’t see them? • Increasing focus on evidencing progress and professional standards for accountability systems

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