The document discusses leveraging analytics to improve online learning. It defines learning analytics as using data, learner-produced data, and analysis models to discover information and connections and predict and advise on learning. It explains that data comes from student feedback, information systems, grades, learning management systems, and web server logs. The document also outlines some tools available for analysis, describes a five stage process of capture, report, predict, act, and refine, and lists applications such as predicting outcomes, dashboards, evaluation, and defining academic quality.

1. Leveraging analytics to !
improve online learning
Michael
Wilder
University
of
Nevada,
Las
Vegas
What is Learning Analytics?!
“Learning analytics is the use of intelligent !
data, learner-produced data, and analysis models to
discover information and social connections, and to
predict and advise on learning.”
George Siemens, 2010!
"
Where does the data come from?!
• Student feedback/surveys"
• Student information systems"
• Registrar "
• Grade book"
• Learning management system"
• Web Server logs"
What tools are available?!
• DIY SQL queries"
• Google analytics"
• Vendor software"
• Open source"
What is the process?!
Characterized as “an engine with five stages”"
•
•
•
•
•
Capture"
Report"
Predict"
Act"
Refine"
(Campbell, DeBlois, and Oblinger, 2007)"
What are some applications?"
•
•
•
•
•
•
Predicting outcome achievement"
Course and program dashboards"
Curricular evaluation"
Prioritizing learning outcomes"
Set course and instructional policies"
Defining academic quality"
(Bach, 2011)"
Full presentation and citations at http://tinyurl.com/analytics-learning !