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Michael Wilder University of Nevada, Las Vegas Leveraging analytics to improve online learning “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 What is Learning Analytics? What tools are available? DIY SQL queries Google analytics Vendor software Open source Where does the data come from? Student feedback/surveys Student information systems Registrar Grade book Learning management system Web Server logs What is the process? Characterized as “an engine with five stages” Capture Report Predict Act Refine (Campbell, DeBlois, and Oblinger, 2007) Full presentation and citations at http://tinyurl.com/analytics-learning 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)

Leveraging learning analytics to improve online learning

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A basic overview infographic of learning analytics: * What is learning analytics? * Where does the data come from? * What tools are available? * What is the process? * What are some applications?

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Page 1: Leveraging learning analytics to improve online learning

Introduc)on  Replace the “blah, blah, blah” with your own “blah, blah, blah.”

Ma t e r i a l s   a n d  methods

Blah, blah, blah

Conclusions  •  Learning analytics can be

useful to the individual instructor in the pursuit of online curricular improvement."

•  Instructors can improve online curriculum by understanding the context in which student engage with the environment (such as time of day, heavy traffic patterns, browser type, mobile devices, etc.)."

•  Instructors should not discount qualitative methods for learning how to improve the scope, sequence, and efficiency of online curriculum."

•  Instructors should be very aware of the ethical and privacy issues of gathering data."

•  Teaching and learning is contextual, and the best person to interpret data is the instructor."

Michael  Wilder  University  of  Nevada,  Las  Vegas  

Literature  cited  Bach, C., 2010. Learning Analytics: Targeting Instruction, Curricula and Student Support. Office of the Provost, Drexel University.""Campbell, J., DeBlois, P., and Oblinger, D., 2007. Academic analytics: A new tool for a new era. Educause Review, 42(4): 40-57.""Educause (2011). 7 things you should know about first-generation learning analytics!!Ferguson, R. (2012). The state of learning analytics in 2012: A review and future challenges. Technical Report KMI-12-01, Knowledge Media Institute, The Open University, UK. ""Pardo, A., and Kloos, C., 2011. Stepping out of the box: Towards analytics outside the learning management system. LAK’11. ""Siemens, G., 2012. Learning analytics: Envisioning a research discipline and a domain of practice. LAK’12, 29. ""Society for Learning Analytics Research, 2012. About. http://www.solaresearch.org/about/"

Leveraging analytics to !improve online learning

“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!

"

What is Learning Analytics?!

What tools are available?!• DIY SQL queries"• Google analytics"• Vendor software"• Open source"

Where does the data come from?!

• Student feedback/surveys"• Student information systems"• Registrar "• Grade book"•  Learning management system"• Web Server logs"

What is the process?!

Characterized as “an engine with five stages”"•  Capture"•  Report"•  Predict"•  Act"•  Refine"

(Campbell, DeBlois, and Oblinger, 2007)"

Full presentation and citations at http://tinyurl.com/analytics-learning !

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)"

Predictors and indicators"•  Activity indicators"

"(Number of logins, time spent in the learning environment)"•  Performance indicators"

"(Grades, quiz scores)"•  Dispositional indicators"

"(Age, GPA, prior learning experience, financial status)"•  Student artifacts"

"(Essays, blog and discussion forum posts, media productions)"(Brown, 2012)"