Learning Analytics: What is it? Why do it? And how?

Learning Analytics: What is it? Why do it? And how?

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  Laney Graduate SchoolTATTO 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
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  An Introduction toLearning Analytics Outline I. What is Learning Analytics? II. What’s the Use? III. Getting Started
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  I. What isLearning Analytics?
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  I. What isLearning Analytics? Definitions ANALYTICS Decision support for a specific knowledge domain Information Wisdom Data Data Warehousing Data Mining Analytics
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  I. What isLearning Analytics? Definitions Statistics Computer Science Data Science Graphic Design Domain Expertise
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  I. What isLearning 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/
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  II. What isLearning 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.
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  II. What’s theUse?
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  II. What’s theUse?
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  II. What’s theUse? For Teachers 1. Early identification of at-risk students 2. Increased student engagement 3. Timely feedback on course design 4. Digital Citizenship
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  II. What’s theUse? 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)
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  II. What’s theUse? 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”
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  II. What’s theUse? 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
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  III. Getting Started
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  III. Getting Started Blackboard Analytics
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  III. Getting Started Blackboard Analytics
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  III. Getting Started ECHO 360
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  III. Getting Started SNAPP: Social Networks Adapting Pedagogical Practice
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  III. Getting Started Do It Yourself
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  III. Getting Started Do It Yourself
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  III. Getting Started Do It Yourself
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  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
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  THANKS! Timothy D.Harfield Scholar in Residence (Learning Analytics) [email protected] @tdharfield