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Learning analytics is the use of data, analysis, and predictive modeling to improve teaching and learning. 
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The Degreed debrief provides a very loud call to action: spend less time worrying about the tracking of learning and more time in facilitating learning.
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In their discussions over the past year, the EDUCAUSE IT Issues Panel touched several times on the issue of analytics and strategies on how best to implement analytics in higher education. Discussions ranged from implementing analytics to improve core administrative and business functions to how best to implement analytics in a predictive sense to ensure student success in academic programs.
In answering five questions, the following IT Issues panelists provided their thoughts on how analytics can improve higher education and how best to implement analytics:
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Learning analytics holds increasing potential for student agency and autonomy, highlighting a need for ethical discourse at all levels of higher education institutions. Topics central to this dialogue include student awareness of analytics, the future of algorithms and learning analytics, and the redefinition of failure.
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Stanford's Lytics Lab gathers data from massive open online courses to learn more about how we learn. The group studies student behavior to measure interaction and performance. Via Dr. Susan Bainbridge
Marci Segal, MS's curator insight,
April 13, 2013 10:57 AM
Good to have a peek inside what's going on, eh? Ready to take the plunge? 
Daniel Tan's curator insight,
July 4, 2014 9:42 PM
The greatest contribution of MOOCs to education will not be the demographic and geograhic reach it claims to provide, but the disruption it creates on the limitations and previous beliefs of the instructivist pedagogy model. Data and learning analytics will document how the student, and more specifically, how the brain learns. The truism that "(s)he who speaks the most learn the most" will be based on data Collected and analyzed. For now, we content that in teaching a class, that teacher has learned the most. :)
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"This course will provide a generally non-technical introduction to learning analytics and how they are being deployed in various contexts in the education field. Additionally, the tools and methods, ethics and privacy, and systemic impact of analytics will be explored, presenting a broad overview of the current state and possible future directions of the field.
Capturing and analyzing data has changed how decisions are made and resources are allocated in the fields of business, journalism, government, military, and intelligence. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data is a value point that drives increased organizational efficiency and a competitive advantage. Analytics provide new insight and actionable intelligence. Companies such as Microsoft, IBM, Google, and Amazon are investing heavily in technologies and techniques to help individuals and organizations make sense of and unlock the value within big data..." Via Jenny Pesina
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There is probably no segment of activity in the education world attracting as much attention at present as that of knowledge management in terms of learning analytics. Learning analytics as defined...
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An overview of learning analytics as of autumn 2012. Presentation to an internal OU audience (the Student Statistics and Surveys Team).
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![Learning Analytics: Leveraging Education Data [Infographic] - AvatarGeneration | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it](https://img.scoop.it/tx682spz0vM-pibCWpSY3jl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
Very nice Infographic from OpenColleges about learning analytics. “When you hear “analytic,” you might think of... Via S. Lustenhouwer
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Data in the classroom is not new, it's just that new tools and software have begun to harness all the information and digest it. Here's a primary on what's next.
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Learning analytics tools can track far more data than an instructor can alone. For high-enrollment classes in particular, LA provides a support structure that monitors student progress and offers timely guidance to students whose academic under- performance might otherwise go quietly unnoticed. At their best, LA applications can identify factors that are unexpectedly associated with student learning and course completion. This information can be valuable both to students, in how they approach learning, and to faculty, in how they structure curricula. Via Nik Peachey
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GUEST COLUMN | By Deb Everhart Everyone is talking about analytics applied to education and how “big data” can (will?) transform many aspects of our educational institutions. And for those of u...
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"A number of experiments are using new kinds of data – such as how many times a student has clicked on an e-textbook or logged in to a class Web page – to measure and guide learning in new ways. That could improve the student experience, but it could also end up dumbing down college, argues Gardner Campbell, director of professional development and innovative initiatives at Virginia Tech."
I suppose it begs the question - what are effective ways of utilising the availability of these new data? - my first thought is that they may assist in identifying students who are finding difficulty.
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"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." Via Beth Dichter, Pauline Farrell
Beth Dichter's curator insight,
July 18, 2014 11:05 PM
This detailed infographic provides an in-depth look at learning analytics. It begins by describing traditional education as a school bus, with the expectation that all students will get to "the finish line together." The infographic then turns to personalized learning, where students would work at their pace and in their way to master material. Analytics play a key role in personalized education. Why? If you use a tool that provides you with the ability to measure, collect, analyze and report data about your students you have the opportunity to adapt curriculum. The infographic shares seven areas that may be considered. From here the infographic moves to the learning analytics cycle which moves to four areas: * Descriptive - What has happened? * Diagnostic - Why has it happened? * Predictive - What will happen? * Prescriptive - What should I do? What comes next? The role of the teacher, which is followed by a What's Next section. There is much to learn about learning analytics in this infographic. You may download the complete infographic from the site. 
miguel a. rodriguez's curator insight,
July 19, 2014 5:24 AM
Interesante infografia de google analytics 
John Lemos Forman's curator insight,
July 20, 2014 10:55 PM
Muita expectativa mas ainda poucos resultados concretos ... De qualquer modo, esta se formando uma percepção de que o modelo educacional vai ser fortemente impactado nos próximos anos
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Today, technology is allowing us to capture unprecedented data on our daily activities. Wearables like Fitbit track movement, calories burned—even sleep. GPS enabled mobile devices capture my car’s every turn. The Internet of Things helps us understand temperature preferences to optimize energy
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The University of Wisconsin-Green Bay's CIO is pursuing a track that marries institutional data, predictions and business rules to create prescriptions for student and campus success. Here are his 12 best practices for prescriptive analytics.
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Universities can gain valuable information by tracking students' behaviour online, but they must be careful not to misuse it
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How can Learning Analytics be used to bring about the true revolution traditionally assumed for MOOCs? With audiences in the thousands of users, the key is mass
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Part 7 of my Top Ed-Tech Trends of 2012 series
I chose “data” as one of the top trends of 2011, and the opening line of that article reads “If data was an important trend for 2011, I predict it will be even more so in 2012.” Indeed. There’s a great deal that happened in 2012 that’s a continuation of what we saw last year — enough that I could probably just copy-and-paste from the article I wrote back then:
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The Open Academic Analytics Initiative, an NGLC grant recipient, is seeking to engender an ecosystem for learning analytics based on open source technologies.
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Learning Analytics can leverage education data and have a true impact on student’s educational experience. Via SHIFT eLearning, Costas Vasiliou, Daniel Tan
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The State of Learning Analytics in 2012: A Review and Future Challenges, The Open University, March 2012. Author Rebecca Ferguson from the Open University's Knowledge Media Institute, provides a detailed look at the history of Learning Analytics research and what the future may hold.
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In today’s complex world, post-secondary institutions are under competitive, customer, and regulatory pressures to account for our business performance, our contribution to the societies we serve, our research productivity, and most important, our students’ success. Learning Analytics is seen as a key tool to enable us to do so.
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The Formation of a New Discipline It was a sentiment repeated several times throughout the Learning Analytics and Knowledge 2012 conference: this could the beginning of a new discipline. It’s something I’ve heard at recent big data events too (namely at O’Reilly Media’s Strata conferences): we are forming a new field, one with new tools and new practices and new objects of inquiry.
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