LEARNING ANALYTICS IN SCHOOLS https://latte-analytics.sydney.edu.au/school/ for updates. Date: Monday 5 March, 2018 Time: 8.30am—3.15pm Venue: SMC Conference & Function Centre, 66 Goulburn Street, Sydney NSW 2000 In association with the 8th International Conference on Learning Analytics & Knowledge, Society for Learning Analytics Research Briefing papers: https://latte-analytics.sydney.edu.au/wp-content/uploads/2017/10/k12_papers-1.pdf You are warmly invited to join this inaugural event! The data and analytics revolutions are disrupting and already transforming many sectors in society: finance, health, shopping, politics. Data is not new to education, but for many, it is still challenging to articulate the connection between the potential of using data to support decision making, and the every day-to-day operations occurring in learning environments. School leaders, teachers, data analysts, academics, policy makers and all other interested parties are invited to join a professional learning and development day focused on the practical applications of Learning Analytics in school (K-12) education. Drawing on national and international expertise, speakers include innovative school leaders and teachers, school data analysts, university researchers, government and software companies. Whether you already know a bit about Learning Analytics, are brand new to it, or already use it in the classroom, there will be insightful sessions with pertinent applications for all levels of knowledge and understanding. You will leave with a deeper understanding of: The diverse forms that Learning Analytics can take, and especially how technology extends this far beyond conventional school data to create better feedback How such data is being used by school leaders to support strategic reflection How new kinds of data are being used by teachers to support their practice The practicalities of initiating such work in your own school This is the first event of its kind in Australia, and a new initiative for the international LAK conference, so you will make many professional connections as we forge this new network.

1. Tracking and Visualising Student Effort
A Practical Analytics Tool for Student Engagement
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Learning Analytics in Schools ‐ 5 March 2018
Learning Analytics and Knowledge Conference ‐ Sydney
Robin Nagy
Educational Consultant

2. Mindset vs Testing
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3. Building Intrinsic Motivation for Learning
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4. Video Reflections – Part 1
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5. Measuring Effort
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• Appropriate classroom conduct and positive attitude to learning.
• Self-control, politeness, respect and consideration for the learning of
others.
Behaviour
• Academic care, rigour and conscientious in class and at home.
• Appropriate completion, quality and timeliness of set learning tasks.Diligence
• Classroom focus and communication (verbal and non-verbal), active
listening, participation and contribution to learning environments.Engagement

6. Rubric
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7. Visualising Student Progress
Dynamic Bubble Chart
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8. Formative Coaching Conversations
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9. Summary Data
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10. Student Self-Grading
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11. Effort vs Academic Distributions
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12. Teacher Graded Effort
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13. Student Graded Effort
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14. Quadrants
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15. Longitudinal Analysis – byYear Group
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16. Longitudinal Analysis – by Gender
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17. Longitudinal Analysis – Girls
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18. Longitudinal Analysis – Boys
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19. Video Reflections – Part 1
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20. Conclusion
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• Making Visible Student Progress
• Improving Intrinsic Motivation
• Nurturing learning dispositions
• Forward Looking (Formative)
• Shifing ‘success-focus’
• Quantifying and Tracking Effort