1. INNOVATIVE TEACHING SEMINAR SERIES 2015 A collaboration between the Higher Education Faculties and the Office of Learning and Teaching A collaboration between the Higher Education Faculties and the Office of Learning and Teaching A CDU STUDENT RETENTION PROJECT INITIATIVE Doing better, doing smarter: Getting the most out of Analytics for Learn

2. Session Outcomes… 2 student activity unit at a glance Unit Analytics activity vs grades demographic data retention centre students at risk Practical Strategies monitor performance Learning activities Design Student Engagement Structured learning Teacher presence

3. Why Analytics? 3 student engagement with peers in a learning community has the strongest positive effect on learning success usage data is highly predictive of student success, especially in courses that use interactive functions Astin, 1993; Light, 2001; Macfadyen & Dawson, 2010; Tinto, 1998 at-risk students empower students better pedagogies student success

4. Recap… 4 Learnline Analytics Activity Data Unit Item Data Student Attributes Unit Attributes Grade Performance Data

5. Recap… 5 Sept 2013 Project Kick-off August 2014 Learnline Integrated Reports March 2015 Student Snapshot Report 18 months to get to current position… Learnline Unit reports available for “formative” use Student Snapshot report commissioned and available from Semester 1, 2015 Links with Student Retention Project initiative Extensive customisation to CDU context

6. 6 Unit Analytics in Learnline

7. 7 Click a student name or Clicks/Interactions for more information

8. Unit Analytics in Learnline 8 STUDENT Name STUDENT

9. Unit Analytics in Learnline 9

10. 10

11. Unit Analytics in Learnline 11

12. Unit Analytics in Learnline 12

13. Group Activity … 13 REVIEW - DISCUSS - REPORT “what you see” in these data In the classroom - Printouts on tables In the virtual room - Files shared through Collaborate

14. Bringing it all together… 14 1.Global Navigator and Retention Centre 2.Performance Dashboard 3.Unit at a Glance 4.Student at a Glance 5.Student Snapshot

15. Now you try… 15 In this activity individuals / groups will look at the Analytics in their own unit/s

16. Feedback? 16 What surprised you about your results? Could you have found out the same things more easily / quickly? Were the time and effort you put into reviewing the data worth it? What areas of teaching and learning might you look more closely at? Who will benefit from what you might do with these data – you, your students or both? What will be your next steps?

17. What else? 17 How others are using analytics in improving teaching practice and student engagement? Access Activity Submissions and Posts

18. One final note… 18 “Every two days we create as much information as we did from the dawn of civilisation up until the end of 2003” (Eric Schmidt – Google CEO) Amount of data can be overwhelming Be clear about what you’re hoping to gain from and/or do with the data Be ethical in your use of student data