3. What are “Academic Analytics”?
• Mining data associated with the
administration of education
See Campbell & Oblinger, 2007
4. What are “learning analytics”?
Siemens, G., Gasevic, D., Haythornthwaite, C., Dawson, S.,
Shum, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)
5. What is medical education gathering?
LMS
Exams
ePortfolio
Lecture
Capture
Admissions
7. Meaningfulness
• Learning has social and personal components
• What does the data mean?
• How might the data guide/predict your
learning?
• Beware of the bubble – what are you not
learning? How do you know?
8. Transparency and Literacy
• Of data collection
• Of reporting the data back to user (faculty, student)
• Helping user (faculty, student) make sense of the
data
9. What skills & literacies might you need?
As a Student
• Formative progress
• Summative evaluation
• Predictive
• Algorithms,
Transparency
• Meaning
Student
Education
As a Doctor
• EVBM
• Rx
• Predictive medicine
10. Analytics could look across the web
• 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.,
Shum, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)
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),