Downloaded 16 times
Uploaded byJanet Corral
Learning analytics: educational administration considerations
The document discusses learning analytics in education, emphasizing the analysis of data for educational administration and the need for transparency and literacy in data usage among students and faculty. It highlights various aspects, including the ethical considerations of data ownership, access, and the integration of learning data. Additionally, it touches on the importance of analytical tools in enhancing both student and patient literacy within the healthcare context.
More Related Content
Similar to Learning analytics: educational administration considerations
More from Janet Corral
Learning analytics: educational administration considerations
- 1. Learning Analytics: Education Administration Consideration Dr. Janet Corral @edtechcorral
- 2. What are ‘Analytics’? 0101110001101 0101011010100 0101011010101 0010111010101 0101010111101 0101101010110 1010110101010 1010101001010 1010101010001 0101010101010 0010101010100 1011101010010 1010101010111 0101010100101 0111010101010 1010001110101 0101010111010 1000101010111
- 3. Academic Analytics • Miningdata associated with the administration of education See Campbell & Oblinger, 2007
- 4. What is “learninganalytics”? Siemens, G., Gasevic, D., Haythornthwaite, C., Dawson, S., Sh um, S. B., Ferguson, R., . . . Baker, R. S. J. D. (2011)
- 5. What is medicaleducation gathering? LMS Exams ePortfolio Lecture Capture Admissions
- 6. What are weassuming? • 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 weinterpreting? • 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)
- 11. Ethics • Stealth assessment •Reported forms • Data ownership, access, expiration
- 12. WHERE WE MIGHTLEAD
- 13. Integrating Data Sets Logbook Simulation Exams Competency or Expertise?
- 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
- 16. Patient Literacy &Skills http://www.slideshare.net/PewInternet/2012-1-12-12-rise-of-epatients-providence-st- joseph-medical-centerpptx
- 17. Analytics Literacy &Skills Health literacy – EVBM Patient Health literacy - Provider Education Privacy Ownership/Advocate
- 18.
- 19. Thank you! Janet Corral Faculty, Educational Informatics
Editor's Notes
- #4 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)
- #16 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),