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Constellation is a visualisation and data analysis application enabling users to solve complex problems in a simple and intuitive way.
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We asked several leaders in the EDUCAUSE community where they currently stand on the use of predictive analytics for student success.
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Progress on data and analytics has stalled. EDUCAUSE is working with NACUBO and AIR to produce an analytics statement advocating for these important e
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Today’s designers of data analytics systems are using thirty-year-old mental models around scarcity of compute and are thus crippling their designs, n
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Your university’s new learning analytics service has flagged that a student is disengaging – what now?
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By nature, an initiative that employs data analytics for student advising is built on the latest technology. But for Syracuse University, technology is always looked upon as a path to a solution; not a driver of change in itself. Find out why understanding campus culture is central to the university's 'Orange SUccess' initiative.
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Using wireless-network data to determine where students spend their time on campus could help those students succeed. The idea is a little cool. It's also kind of creepy.
Kim Flintoff's insight:
Using wireless-network data to determine where students spend their time on campus could help those students succeed. The idea is a little cool. It's also kind of creepy.
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The higher education community must set the table and invite others to help us define ethical practice and responsible use of student data in the rapi
Eva Novianti's curator insight,
November 10, 2024 8:53 AM
Penggunaan data dari publik saat ini memang sedang marak dan berpengaruh dalam dunia pendidikan yang kerap menggunakan data publik untuk penelitian ataupun pembelajaran. Namun, dari artikel ini, diharapkan dewasanya dunia pendidikan dapat bertanggungjawab menggunakan data publik sebagai bahan penelitian dan pembelajaran lebih baik lagi, serta menjaga kerahasiaannya.
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What are learning analytics? How do you use them? And how do you evaluate which features you’ll need to help your students succeed?
Kim Flintoff's insight:
What are learning analytics? How do you use them? And how do you evaluate which features you’ll need to help your students succeed? If you teach, you should be able to make sense of learning analytics. And decide what’s useful to you. You just need to ask the right questions.
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When asked what tools and technologies they would most like to adopt for their online programs, online education leaders cited adaptive learning and learning analytics as their most wanted tech, according to the latest Changing Landscape of Online Education report, a joint initiative of nonprofit Quality Matters and Eduventures Research.
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As the field of learning analytics matures we are starting to see a shift in the way researchers and institutions are talking about learning analytics in the context of learning and teaching. From its roots in using student data to address retention, the field is expanding and becoming truly transdisciplinary – drawing on methodologies and analytics techniques from multiple disciplines. This provides exciting possibilities for new ways that learning analytics can be utilised in higher education.
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Predictive analytics is no silver bullet, but given time and resources, it can yield impressive results.
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At the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This first in a series of three blogs looks at the potential for analytics to help address critical challenges in higher education.
Kim Flintoff's insight:
At the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This first in a series of three blogs looks at the potential for analytics to help address critical challenges in higher education.
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At the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and
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Institutions have access to more student data than ever before—but it's hard to really grasp what that means, since many of the digital tools that colleges use are from third parties or companies that keep their algorithms private. That makes it hard for students, professors or even journalists to get a glimpse inside.
Kim Flintoff's insight:
"Institutions have access to more student data than ever before—but it's hard to really grasp what that means, since many of the digital tools that colleges use are from third parties or companies that keep their algorithms private. That makes it hard for students, professors or even journalists to get a glimpse inside. That didn’t stop Bryan Short, who was a student at the University of British Columbia in 2016 when he got curious to know what information the learning management system at his university had collected on him and how it was being used. And what he found—that is, once he got a hold of it—left him feeling pretty uneasy."
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Implementing a learning analytics system across all higher education institutions in Wales provides a model for the opportunities for such services at
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Augmented analytics and “explainable AI” are just two changes to data and analytics technology that should have "significant disruptive potential" over operations in the next three to five years.
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A study undertaken jointly by the University of Maryland, Baltimore County and education technology companies Blackboard and VitalSource found that early activity with digital tools is a "strong predictor" of passing a class — even more so than the grade point average a student enters the class with.
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Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains. Highlighting the real potential of…
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The premise is fairly simple: If colleges or universities could just identify students most at risk of failing a required course based on a predictive model, faculty and advisers could reach out and lend helping hands. But the road to student success in higher education is often pitted with potholes.
Kim Flintoff's insight:
The premise is fairly simple: If colleges or universities could just identify students most at risk of failing a required course based on a predictive model, faculty and advisers could reach out and lend helping hands. But the road to student success in higher education is often pitted with potholes.
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A retention early warning system. What is it? And how can you use it to help your students learn the skills they need to succeed?
Kim Flintoff's insight:
A retention early warning system. What is it? And how can you use it to help your students learn the skills they need to succeed?
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Academics have scoured Facebook pages in the name of science. But the troves they’ve amassed are sometimes unsecured and now pose a privacy risk.
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The rise of analytics in higher education raises questions about the responsible use of student data. Here are some of the issues and how institutions are dealing with them.
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Get the Free eBook - Advanced Reporting In Moodle & Totara, With Lambda Zoola to learn about The Importance Of Learning Analytics In Instructional Design.
Kim Flintoff's insight:
"Every time a student interacts with your Learning Management System, another piece of data is created and collected. Every login, button click, chat entry, assessment, and time stamp is tracked and recorded. Many Instructional Designers don’t take full advantage of this data—but with learning analytics (LA), you can use that data in powerful ways to impact not only your course design, but much more."
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