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Learnline - Early Warning System & Performance Dashboard

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Learnline - Early Warning System & Performance Dashboard

  1. 1. 1 EARLY WARNING SYSTEM AND PERFORMANCE DASHBOARDJune 2012 Subtitle
  2. 2. Outline of session2  My experience  Monitoring students and engaging with large numbers  The problems  The context  Potential management and engagement tools: EWS and Performance Dashboard  Examples from NUR219 Learnline site  Discussion/questions June 2012
  3. 3. My Experience: Self-portrait (circa 2009)!3 June 2012
  4. 4. The Problems: NUR219 Mental4 Health Nursing  Disconnection  Unable to establish effective interpersonal relationships with students  Minor unit management errors on my part became exponentially magnified through the effect of high volumes, technology, and isolation from campus activity  Complexity of teaching across multiple modes increases risk of confused information  Non-traditional student cohort  NUR219: 367 students; 11% internal, 1% full-time (“Area 52” data, 21st May)  Unable to access traditional feedback from students as a check  Minimal ability to obtain direct feedback from students; difficult to evaluate the quality of feedback  Difficult to set up expectations and norms as these are not set by on- campus socialisation or effective face-to-face routine contact. We now compete with other powerful expectation-setting contexts (e.g. employers, past education experiences, workplace inservices, etc.) June 2012
  5. 5. Feedback, Engagement, and5 Management  Lecturer -> -> Student (large no’s)  Students -> -> Lecturer  Student -> -> Peer Community My view of NUR219 students June 2012
  6. 6. “Invisible” online students6  Students who are losing track or not- progressing for other reasons are not detected in a timely manner.  Leads to a high risk of failure  Which then leads to students blaming a lack of support, guidance, confusion, etc. June 2012
  7. 7. Identifying students who need7 support Online  Early Warning System  Performance Dashboard “My maths teacher” (circa late-ish 1900’s)!  Track progression data, then  Assertively provide help and support (asynchronously). June 2012
  8. 8. Unit Design Considerations8  Tracking progression involves decisions about what “items” that will generate the data needed.  This decision will guide how to set up learning materials and assessment items.  EWS and Performance Dashboard…  uses two main types of data: Review Status (Learning Materials) and Due Date Status (Assessment Items)  allows the Unit Coordinator to interrogate students’ progress  the unit coordinator can then identify significant groups of students and respond en masse June 2012
  9. 9. Data-driven Unit Design9  Early Warning System uses “due dates” data from any assessment items. Notifications can be sent x days before or after a due date, or if poor unit access, etc.  Performance Dashboard uses “Review Status” data from content items. The number of items marked as Reviewed by the student can be observed. June 2012
  10. 10. EWS example10  Example: Notification to students with late attempt at Week 1 self-assessment quiz. June 2012
  11. 11. Performance Dashboard11 example  Example: Identifying students who have not reviewed Learning Materials. June 2012
  12. 12. Unit Design: Thinking About12 Data W Topic (Review items) Self-assessment Assessment k (due date items) 1 Orientation to NUR219 Quiz 1 2 Theory as a basis for practice Quiz 2 3 Neuroscience as a basis for Quiz 3 practice 4 Tools of psychiatric nursing Quiz 4 Census date 5 Culture and ethnic Quiz 5 Assignment 1 considerations 6 Law, ethics and mental health Quiz 6 7 The client experiencing crisis / Quiz 7 anxiety 8 The client experiencing Quiz 8 Assignment 2 schizophrenia June 2012 Etc…
  13. 13. Progress and Performance Data13 for NUR219  weekly self-assessment quizzes with automated marking and feedback  provides weekly “due date” data for the EWS  can also develop an EWS notification for poor scores if you wish!  weekly Learning Modules  provides a sequential weekly structure  With Review Status and Adaptive Release switched on to generate “Reviewed” content data. June 2012
  14. 14. Example: Early warning14 notifications June 2012
  15. 15. Early Warning System15  A student progression management tool, but EWS Notifications are a mechanism for “assertive engagement” with students June 2012
  16. 16. Performance Dashboard: Tracking16 progress  Example:  Sort on Review Status column (starting at zero)  Show all June 2012
  17. 17. NUR219 Example: Tracking17 progress (Review status) June 2012
  18. 18. Example: Tracking progress18 student detail June 2012
  19. 19. Communicating expectations19  Monitoring progression; who is falling behind and who is becoming “High Risk”?  Assertive engagement using notifications generated from EWS  Frame up helpful notifications that express clear boundaries  Audit trail June 2012
  20. 20. Example NUR219 notification to20 students from EWS June 2012
  21. 21. Example NUR219 notification21 (absence from unit) June 2012
  22. 22. Example NUR219 notification (insufficient progression through22 Learning Materials) June 2012
  23. 23. Example NUR219 notification (insufficient progression through23 Learning Materials) June 2012
  24. 24. High Volumes (Advanced Performance24 Dashboard)  Can’t send notifications directly from Performance Dashboard  Use Grade Centre to send notifications if needed to appropriate students en masse  Copy Dashboard to Excel for advanced filtering and format as a table  In Dashboard, select Show All.  Select all the cells in the Dashboard table including column headings.  Use “Paste Special” (choose Unicode) to dump data into Excel sheet.  Then Format as Table in Excel June 2012

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