Learning analytics UCSF Keynote

LearningAnalytics 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‟? 0101110001101 0101011010100 0101011010101 0010111010101 0101010111101 0101101010110 1010110101010 1010101001010 1010101010001 0101010101010 0010101010100 1011101010010 1010101010111 0101010100101 0111010101010 1010001110101 0101010111010 1000101010111

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 AcademicAnalytics 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 60 60Viewing Time (in mins) Viewing Time (in mins) 50 50 40 40 30 30 20 20 10 10 0 0 s1 s2 s3 s4 s5 s6 s7 s8 s9 s10 s11 s12 s13 s14 s1 s2 s3 s4 s5 s6 s7 s8 Students Students Hematopoesis Intro to Coagulation 70 70 60 60Viewing Time (in mins) 50 Viewing Time (in mins) 50 40 40 30 30 20 20 10 10 0 0 s1 s2 s3 s4 s5 s6 s7 s8 s9 s10 s11 s1 s1 s2 s3 s4 s5 s6 s7 s8 s9 s10 s11 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

LEARNINGANALYTICSFOR …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 LimitationsFrequency by individual node Click = ?Pathways by individual user Insight into thinking processesData we didn’t have before Insight into decision making Individual or collective use?

DISCUSSION

PREDICTION

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How do youselect thebest futureMD?

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 Schools82 dentistry students 81,438 students167 medical students Facebook500 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 & OpportunitiesTools• 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

by Janet Corral on Nov 14, 2012

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