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Laney Graduate School TATTO Extension Brown Bag 
September 10, 2014 | 12:00 AM – 1:00 PM 
Learning Analytics 
What is it? ...
An Introduction to Learning Analytics 
Outline 
I. What is Learning Analytics? 
II. What’s the Use? 
III. Getting Started
I. What is Learning Analytics?
I. What is Learning Analytics? 
Definitions 
ANALYTICS 
Decision support for a specific knowledge domain 
Information 
Wis...
I. What is Learning Analytics? 
Definitions 
Statistics Computer Science 
Data Science 
Graphic Design Domain Expertise
I. What is Learning Analytics? 
Definitions 
LEARNING ANALYTICS 
Decision support for learning and learning environments 
...
II. What is Learning Analytics? 
Definitions 
Academic Analytics – extracted analytics meant to support institutional deci...
II. What’s the Use?
II. What’s the Use?
II. What’s the Use? 
For Teachers 
1. Early identification of at-risk students 
2. Increased student engagement 
3. Timely...
II. What’s the Use? 
For Learners 
1. Increased understanding of online learning behaviors 
• 70% of students who initiall...
II. What’s the Use? 
Analytics in the Humanities 
Principles for Pedagogical Learning Analytics Intervention Design 
Using...
II. What’s the Use? 
Ethical Debates 
1. Student Privacy 
• Family Educational Rights and Privacy Act (FERPA) 
• Instituti...
III. Getting Started
III. Getting Started 
Blackboard Analytics
III. Getting Started 
Blackboard Analytics
III. Getting Started 
ECHO 360
III. Getting Started 
SNAPP: Social Networks Adapting Pedagogical Practice
III. Getting Started 
Do It Yourself
III. Getting Started 
Do It Yourself
III. Getting Started 
Do It Yourself
III. Getting Started 
Additional Resources 
ALE: Analytics for Learning at Emory 
https://scholarblogs.emory.edu/ALE 
• Le...
THANKS! 
Timothy D. Harfield 
Scholar in Residence (Learning Analytics) 
timothy.harfield@emory.edu 
@tdharfield
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Learning Analytics: What is it? Why do it? And how?

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Presentation delivered to graduate students at Emory University as part of a TATTO (Teaching Assistant Training and Teaching Opportunity) brown bag session.

ABSTRACT
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. Data driven approaches to teaching and learning are rapidly being adopted within educational environments, but there is still much confusion about what learning analytics is, what it can do, and how it is best employed.

This talk will provide a general overview of the field of learning analytics, its terminology and methods, as well as contemporary ethical debates. It will also introduce several open source and Emory-supported analytics tools available to students and instructors to facilitate the achievement of various learning outcomes.

Published in: Education
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Learning Analytics: What is it? Why do it? And how?

  1. 1. Laney Graduate School TATTO Extension Brown Bag September 10, 2014 | 12:00 AM – 1:00 PM Learning Analytics What is it? Why do it? And How? Prepared by Timothy Harfield, Scholar in Residence Libraries & Information Technology Services Updated 2014-09-10
  2. 2. An Introduction to Learning Analytics Outline I. What is Learning Analytics? II. What’s the Use? III. Getting Started
  3. 3. I. What is Learning Analytics?
  4. 4. I. What is Learning Analytics? Definitions ANALYTICS Decision support for a specific knowledge domain Information Wisdom Data Data Warehousing Data Mining Analytics
  5. 5. I. What is Learning Analytics? Definitions Statistics Computer Science Data Science Graphic Design Domain Expertise
  6. 6. I. What is Learning Analytics? Definitions LEARNING ANALYTICS Decision support for learning and learning environments “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.” http://www.solaresearch.org/mission/about/
  7. 7. II. What is Learning Analytics? Definitions Academic Analytics – extracted analytics meant to support institutional decision making. Address issues related to college rankings (ex. student retention, time to degree, failure/success rates, hiring, resource usage), recruitment, and fundraising. Learning Analytics – analytics that aim at increasing student success within specific learning environments. extracted analytics – information about user activity extracted from learning environment, in order to make decisions about interventions to optimize student performance. Analytics are separate from, and for the sake of, interventions. embedded analytics – information about user activity incorporated into the learning environment itself, as part of reflective teaching and learning practices. Analytics are interventions in themselves.
  8. 8. II. What’s the Use?
  9. 9. II. What’s the Use?
  10. 10. II. What’s the Use? For Teachers 1. Early identification of at-risk students 2. Increased student engagement 3. Timely feedback on course design 4. Digital Citizenship
  11. 11. II. What’s the Use? For Learners 1. Increased understanding of online learning behaviors • 70% of students who initially encounter an activity checking tool state that they are intrigued, if not surprised, by the results 2. Increased levels of achievement • Students who chose to regularly check their activity in a class are twice as likely to earn a grade of C or higher in that class • Students with high levels of course activity in a class are not only more likely to pass, but have been seen to achieve a half-grade higher in subsequent classes that require it. SOURCES: Fritz, J (2011) “Classroom walls that talk: Using online course activity data of successful students to raise self-awareness of underperforming peers” in The Internet and Higher Education. 14(2)
  12. 12. II. What’s the Use? Analytics in the Humanities Principles for Pedagogical Learning Analytics Intervention Design Using data as a reflective and dialogical tool between instructor and students 1. Integration 1. Agency 1. Reference Frame 1. Dialogue SOURCE: Alyssa Friend Wise (2014) “Designing Pedagogical Interventions to Support Student Use of Learning Analytics”
  13. 13. II. What’s the Use? Ethical Debates 1. Student Privacy • Family Educational Rights and Privacy Act (FERPA) • Institutional Review Boards (IRB) 2. Student Responsibility • Who is responsible for student success? • Who owns student data? 3. Student Success • Who defines success? • Competing views
  14. 14. III. Getting Started
  15. 15. III. Getting Started Blackboard Analytics
  16. 16. III. Getting Started Blackboard Analytics
  17. 17. III. Getting Started ECHO 360
  18. 18. III. Getting Started SNAPP: Social Networks Adapting Pedagogical Practice
  19. 19. III. Getting Started Do It Yourself
  20. 20. III. Getting Started Do It Yourself
  21. 21. III. Getting Started Do It Yourself
  22. 22. III. Getting Started Additional Resources ALE: Analytics for Learning at Emory https://scholarblogs.emory.edu/ALE • Learning Analytics Speaker Series • Tools • Examples MOOC: Data, Analytics and Learning (EdX) Begins 20 October 2014 | https://www.edx.org/course/utarlingtonx/utarlingtonx-link5-10x-data-analytics-2186 SoLAR: Society for Learning Analytics Research http://solaresearch.org/ • Learning Analytics and Knowledge Conference • Learning Analytics Summer Institutes • Journal of Learning Analytics
  23. 23. THANKS! Timothy D. Harfield Scholar in Residence (Learning Analytics) timothy.harfield@emory.edu @tdharfield

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