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Learning
Analytics
      Dr. Janet Corral
     University of Colorado
What?!
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Big Data for Business
Overview
• Definitions
• Case Studies
  – Data
  – Visualization
  – Prediction
• Challenges & Opportunities
• Where do we go from here?
What are „Analytics‟?
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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)
Learning    Academic
Analytics   Analytics
Health sciences education
            LMS




           Exams



          ePortfolio



           Lecture
           Capture



          Admissions
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LMS + Google Analytics = ?




    With gratitude to the Entrada Project: http://www.entrada-project.org/
With gratitude to the Entrada Project: http://www.entrada-project.org/
Podcasting
                                               Hemopathology                                                                                                    Anemia
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                                                               Students                                                                                               Students



                                                   Hematopoesis                                                                                     Intro to Coagulation
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                                                               Students                                                                                              Students

                                                                                         With gratitude to UC Denver META Unit: http://goo.gl/g90rs
What Does The Data Mean?
•   Clicks
•   Navigation
•   Assumptions
•   Interpretation
•   Confusion
•   Predictors and causes
•   Data + behavioural practices
Better than surveys?

Google Analytics: Operating System
VISUALIZATION
Transforming Data
Dashboards
NYU Educational Data Warehouse




   With gratitude to NYU Educational Data Warehouse: alex.support@med.nyu.edu
Consider:
  • Visualization
  • Reporting
  • Timelines
  • Expectations
  • Policies
LEARNING
ANALYTICS
FOR …

LEARNING


            Image credit: http://www.fromoldbooks.org/pictures-of-
            old-books/pages/img_7378-stack-of-books/
Feedback for Faculty




           http://www.itap.purdue.edu/learning/tools/signals/
Feedback for Teachers




    With gratitude to Forefront Math: www.forefrontmath.com
Feedback for Teachers
Feedback for Learners
K-12 School Trends
Virtual Patients




   Corral, J. (2012). Learning with Virtual Patients.
The Gold Standard Path




       Corral, J. (2012). Learning with Virtual Patients.
Hmm…

Successes                      Limitations
Frequency by individual node   Click = ?
Pathways by individual user    Insight into thinking processes
Data we didn’t have before     Insight into decision making
                               Individual or collective use?
DISCUSSION
PREDICTION
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How do you
select the
best future
MD?
With Gratitude to Drs. Harold Reiter and Kelly Dore, McMaster University
                            http://fhs.mcmaster.ca/mdprog/casper.html
Size Matters




    UCSF Per Year       Denver Public Schools
82 dentistry students     81,438 students
167 medical students                                       Facebook
500 pharmacy students   University of Pheonix   1 billion monthly active users
                        400,000 students per
                                year
Quantitative dominance?
CHALLENGES &
OPPORTUNITIES
Challenges & Opportunities

                    Data
•   Size               •   Security
•   Sharing            •   Cross-institutional
•   Compatibility      •   Policies
•   Algorithms         •   Transparency
•   Storage            •   Openness
•   Focus
Challenges & Opportunities

Tools
• Variety
• Algorithms
• Transparency
• Openness
• Focus
• Scale
Challenges & Opportunities
                       People
•   Multiple skill sets
•   Collaboration
•   Education
•   Ownership
•   Ethics
•   Privacy
•   Transparency
Challenges & Opportunities
             Educational Impact
•   Success
•   Ownership
•   Ethics
•   Privacy
•   Return on Investment
•   Multiple skill sets
•   Collaboration
•   Education
Teaching with and about analytics



                      Carrier Status
                       Disease Risk
                           Drug
                        Response
                        Research
Thank you!

 Janet Corral



 @edtechcorral



 janet.corral@ucdenver.edu

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Learning analytics UCSF Keynote

Hinweis der Redaktion

  1. Moodle has 2 plug in “blocks”: block_analytics_recommendationsblock_graph_stats
  2. 1. Don’t confuse predictors and causes. 2. What about social learning processes?
  3. Share in pairs
  4. Computer based Assessment for PERsonal characteristics (CASPER) a web-based assessment of interpersonal skills and decision-makingCompared to the Autobiographical Submission, CASPer is significantly more reliable, predicts much more validly for subsequent performance, and requires less applicant time.
  5. Helping our students prepare for the future of personalized medicine