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Learning Analytics Tools

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Presentation of master thesis, TU Graz, April 2019

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Learning Analytics Tools

  1. 1. W I S S E N T E C H N I K L E I D E N S C H A F T www.tugraz.at Learning Analytic Tools for Massive Open Online Courses Karin Maier, BSc April 11, 2019
  2. 2. 2 Motivation Motivation Ubiquitous learning environments Large scaled online resources Connected but distant learners Karin Maier, BSc April 11, 2019
  3. 3. 2 Motivation Motivation Ubiquitous learning environments Large scaled online resources Connected but distant learners How to capture activity, how to bridge such information gap? Image Credit from [1]Karin Maier, BSc April 11, 2019
  4. 4. 3 Background Massive Open Online Courses Online Courses Many Participants Open Resources Interactive Content Blended Learning/ Addition to traditional concepts Karin Maier, BSc April 11, 2019
  5. 5. 4 Background Learning Analytics ...is about collecting traces that learners leave behind and using those traces to improve learning. Erik Duval, 2012 Karin Maier, BSc April 11, 2019
  6. 6. 5 Background TEL Marketplace, LLT, March 19, 2019 Karin Maier, BSc April 11, 2019
  7. 7. 6 Implementation Learning Analytics Cockpit Dashboard with various Widgets/Metrics PHP, HTML, CSS JavaScript D3.js node.js Karin Maier, BSc April 11, 2019
  8. 8. 7 Implementation Web Analytics Plugin Karin Maier, BSc April 11, 2019
  9. 9. 8 Implementation How to capture learning? How are resources accessed? Device Statistics Karin Maier, BSc April 11, 2019
  10. 10. 8 Implementation How to capture learning? How are resources accessed? Device Statistics When are resources used? Activity Calendar Karin Maier, BSc April 11, 2019
  11. 11. 8 Implementation How to capture learning? How are resources accessed? Device Statistics When are resources used? Activity Calendar Which items/regions are used? Heat Map (Mouse Activity) Karin Maier, BSc April 11, 2019
  12. 12. 9 Implementation Demo Karin Maier, BSc April 11, 2019
  13. 13. 10 Implementation Features Multiple customizable dashboards Interactive visualizations with D3.js Report Generation Note Section Activity-related Widgets Karin Maier, BSc April 11, 2019
  14. 14. 11 Evaluation Proof of Concept - Law Busters Test Period within December 2018 to February 2019 3 weeks, one hour video each Initial: more than 50 participants Data aggregation and visualization with LA Cockpit Karin Maier, BSc April 11, 2019
  15. 15. 12 Evaluation Activity Calendar Timely patterns, see relation to events Karin Maier, BSc April 11, 2019
  16. 16. 13 Evaluation Heat Map Layout and structure matter Karin Maier, BSc April 11, 2019
  17. 17. 14 Evaluation Feedback & Future Work More and diverse widgets (include video statistics) Some usability additions Interactivity and visualization boost user satisfaction Evaluate with more participants Evaluate interface design Karin Maier, BSc April 11, 2019
  18. 18. 15 Summary Conclusions 1/2 The tool showed various ways to define activity proposed metrics suitably bridge information gap data literacy is supported MOOC improvement is motivated Karin Maier, BSc April 11, 2019
  19. 19. 16 Summary Conclusions 2/2 Visualization is crucial Coherences and insights are built upon that Learning Analytics is no silver bullet or replacement for experienced teachers Make connections, not categories. Karin Maier, BSc April 11, 2019
  20. 20. 17 Summary Summary Background on MOOCs and Learning Analytics The challenges new learning environments present Various ideas how to capture student activity A tool to bridge the information gap of MOOCs A tool to close the feedback loop and improve learning resources Karin Maier, BSc April 11, 2019
  21. 21. 18 Summary Thank you for your attention! It’s time, to learn something new. Karin Maier, BSc April 11, 2019

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