3. Academic Analytics
• Mining data associated with the
administration of education
See Campbell & Oblinger, 2007
4. What is “learning analytics”?
Siemens, G., Gasevic, D., Haythornthwaite, C., Dawson, S., Sh
um, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)
5. What is medical education gathering?
LMS
Exams
ePortfolio
Lecture
Capture
Admissions
6. What are we assuming?
• Clicking
• Active vs passive choices
• Learning vs. Interest – “What is there?”
• Tool is ready to learn with and from
• Obedience
• Analytical tools readiness
7. What are we interpreting?
• Activity in some form…
– Usage
– Learning
• With some interpretation…
– Inference
– Assumptions
– Hope
8. Analysis of Learning:
What are we conceptualizing?
• Positivist, deterministic
• Intervention, Treatment
• Complex
• Dynamic
• Co-influencing
• Participatory, Proximal, Distal
• Activity
• Expertise
9. Transparency and Literacy
• Of data collection
• Of reporting the data back to user (faculty, student)
• Helping user (faculty, student) make sense of the
data
10. Just “our” systems?
• Across institutional and personal web
applications (Retalis et al, 2006)
– Limited view of learning
– Expanded view of learning
Siemens, G., Gasevic, D., Haythornthwaite, C., Dawson, S., S
hum, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)
14. Data Ownership
http://www.healthcareitnews.com/news/patients-sue-walgreens-making-money-their-data
15. Analytics Literacy & Skills
As a Student
• Formative progress
• Summative evaluation
• Predictive
• Algorithms, Transparency
• Meaning
Student
Education
As a Doctor
• EVBM
• Rx
• Predictive medicine
Limited view of learning (e.g. discussion postings, sharing links)Expanded view of learning (e.g. students don’t use the LMS exclusively; learning happens across personal and institutional contexts)
Educate students on where data obtained, how mined, how used. Also show them how it might be used to assess their own students (teachers), is changing EVBM (MDs), might change how Pts are treated (MDs),