This document discusses learning analytics and academic analytics for educators. It begins by defining learning analytics as the measurement, collection, analysis and reporting of data about learners and contexts, while academic analytics uses administrative data like grades and attendance with statistics to improve decision making. It then notes that analytics can be used to monitor course, learner or activity progress through dashboards, and to evaluate courses or predict student success. The document also discusses using analytics in clinical disciplines and adapting to changes in analytics over one's career. It concludes by discussing open questions around analytics and their application to research.

1. 5
Things
Anatomy Science Educators
Should Know About
Learning Analytics
Dr. Janet Corral
University of Colorado

2. Goal:
Prepare you
for analytics in
your career as
an educator &
interfacing
with clinical
colleagues

3. #1
BE ABLE TO DEFINE &
DISTINGUISH BETWEEN
LEARNING ANALYTICS &
ACADEMIC ANALYTICS

4. What are „Analytics‟?
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5. What are “academic analytics”?
The use of large administrative data sets (e.g.
attendance, financial status, transcript
scores, etc.) with statistical techniques and
predictive modeling to improve decision
making.
(Campbell & Oblinger, 2007)

6. Learning
Analytics
Academic
Analytics

7. What are “learning analytics”?
Measurement, collection, analysi
s, and reporting of data about
learners and their contexts
Siemens, G., Gasevic, D., Haythornthwaite, C., Dawson, S., Sh
um, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)

8. #2
LEARNING ANALYTICS MAY BE
USED TO MONITOR
COURSE, LEARNER, OR ACTIVITY
PROGRESS

9. Dashboards – Course Level
http://www.itap.purdue.edu/learning/tools/signals/

10. Dashboards – Course Level
Credit: Moodle

11. Dashboard – Student Progress
With gratitude to Forefront Math: www.forefrontmath.com

12. Dashboard – Activity Progress

13. Dashboard – Feedback to Learners
Credit: Moodle

14. Recommendations on what or how
to study
Credit: University of Michigan

15. How emotions may impact online
learning achievement
Delight,
Surprise
(Rare)
Frustration
(less associated
with poorer
learning)
Confusion,
Engaged Concentration
(Watch out for
boredom!)
Baker, D’Mello, Rodrigo, & Graesser, 2004

16. #3
ACADEMIC ANALYTICS MAY BE USED
FOR COURSE EVALUATION OR TO
PREDICT STUDENT SUCCESS

17. To assess student progress in course
http://www.itap.purdue.edu/learning/tools/signals/

18. To link progress to outcomes

19. To understand gender impact
Credit: University of Michigan

20. #4
ANALYTICS IS BEING USED IN
CLINICAL DISCIPLINES

21. Bringing the Algorithms to the Data: Cloud–Based
Benchmarking for Medical Image Analysis
By: Allan Hanbury, Henning Müller, Georg Langs, Marc André Weber, Bjoern H. Menze, Tomas
Salas Fernandez

22. Modeling health informatics capacity for
neonatal intensive care patient journeys
supported by interprofessional teams
McGregor, Steadman, Pe
rcival & James (2013)

23. Analytics can inform communication
Credit: Civitas Learning

24. #5
ADAPTING TO CHANGE OVER YOUR
CAREER IS IMPORTANT

25. Access
Transparency
Privacy
Aggregation
Retention &
Destruction of
Data
Re-use

26. Many institutions are still figuring
out how to best use analytics

27. Analytics, templates in eLearning tools may
provide basic pedagogical guidance for
faculty, and basic support for learners
I am a
teaching
prosthetic.

28. Can we more deeply understand
achievement?
Baker, Hershkovitz, Rossi, Goldstein, & Gowder (In press)

29. We don’t yet know what visualizations are best.
Expect different, expect more!

30. Analytics might apply to your research
phenotype
abnormality
environmental
impact

31. Questions?