Learning analytics: educational administration considerations

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  • 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),
  • Learning analytics: educational administration considerations

    1. 1. Learning Analytics:Education Administration Consideration Dr. Janet Corral @edtechcorral
    2. 2. What are ‘Analytics’? 0101110001101 0101011010100 0101011010101 0010111010101 0101010111101 0101101010110 1010110101010 1010101001010 1010101010001 0101010101010 0010101010100 1011101010010 1010101010111 0101010100101 0111010101010 1010001110101 0101010111010 1000101010111
    3. 3. Academic Analytics• Mining data associated with the administration of education See Campbell & Oblinger, 2007
    4. 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. 5. What is medical education gathering? LMS Exams ePortfolio Lecture Capture Admissions
    6. 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. 7. What are we interpreting?• Activity in some form… – Usage – Learning• With some interpretation… – Inference – Assumptions – Hope
    8. 8. Analysis of Learning: What are we conceptualizing?• Positivist, deterministic• Intervention, Treatment• Complex• Dynamic• Co-influencing• Participatory, Proximal, Distal• Activity• Expertise
    9. 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. 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. 11. Ethics• Stealth assessment• Reported forms• Data ownership, access, expiration
    12. 12. WHERE WE MIGHT LEAD
    13. 13. Integrating Data Sets Logbook Simulation Exams Competency or Expertise?
    14. 14. Data Ownership http://www.healthcareitnews.com/news/patients-sue-walgreens-making-money-their-data
    15. 15. Analytics Literacy & Skills As a Student • Formative progress • Summative evaluation • Predictive • Algorithms, Transparency • Meaning StudentEducation As a Doctor • EVBM • Rx • Predictive medicine
    16. 16. Patient Literacy & Skillshttp://www.slideshare.net/PewInternet/2012-1-12-12-rise-of-epatients-providence-st-joseph-medical-centerpptx
    17. 17. Analytics Literacy & Skills Health literacy – EVBM Patient Health literacy - ProviderEducation Privacy Ownership/Advocate
    18. 18. Participate!
    19. 19. Thank you! Janet CorralFaculty, Educational Informatics

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