Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Asking the right questions of big data in education

Asking the right questions of big data in education | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Universities have seized on big data to count every click their students make in learning management systems, but the focus needs to be on improving learning.
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klickitatrelay's comment, February 28, 1:07 AM
Nice I like it
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Predictive Analytics: Nudging, Shoving, and Smacking Behaviors in Higher Education

Predictive Analytics: Nudging, Shoving, and Smacking Behaviors in Higher Education | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
With predictive analytics, colleges and universities are able to “nudge” individuals toward making better decisions and exercising rational behavior to enhance their probabilities of success.
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Institutional Analytics Is Hard Work: A Five-Year Journey

Even though the work required to yield significant results in institutional analytics is hard and the journey long, the cost of doing nothing is no longer an option for most higher education institutions.
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U of California at San Diego's early warning system aims to boost four-year graduation rate

U of California at San Diego's early warning system aims to boost four-year graduation rate | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
U of California at San Diego's new early warning system aims to condense millions of data points into a simple metric showing whether students will graduate on time.
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Bricks to Clicks: from recommendation to action

Bricks to Clicks: from recommendation to action | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
If you’ve been working in higher education (HE) for a while, you’ll know that the latest Higher Education Commission (HEC) report ‘From Bricks to Clicks: the Potential of Data and Analytics in Higher Education’ is welcome research.  It brings into the spotlight the conversation about the strategic role that data and digital can play in HE.
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What Higher Education Can Learn from Fitbit (EdSurge News)

What Higher Education Can Learn from Fitbit (EdSurge News) | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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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Developing Strategies for Implementing Analytics (EDUCAUSE Review) | EDUCAUSE.edu

Developing Strategies for Implementing Analytics (EDUCAUSE Review) | EDUCAUSE.edu | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

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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Innovation: Moving Analytics to Action -- Campus Technology

Innovation: Moving Analytics to Action -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The real challenge for learner analytics now is to move analytics to action, says Russ Little, PAR's new Chief Innovation Officer.
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What 6.9 million clicks tell us about how to fix online education

What 6.9 million clicks tell us about how to fix online education | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

In a paper published this spring, the CSAIL team outlined some key findings on what online learners want from videos. These include:


Brevity (viewers generally tune out after six minutes)


Informality, with professors seated at a desk, not standing behind a podium


Lively visuals rather than static PowerPoint slides


Fast talkers (professors seen as the most engaging spoke at 254 words per minute)


More pauses, so viewers can soak in complex diagrams


Web-friendly lessons (existing videos broken into shorter chunks are less effective than ones crafted for online audiences)

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Stephen Bright's curator insight, July 29, 2014 6:06 PM

Analysis from MIT about the features of online videos used in MOOCs that online learners prefer. Interesting analysis for MOOCs but these features could be applied to videos used in any implementation of blended learning.

 

Also shows that the slick, production theatre videos with a highly professional look may not be the ones that students prefer to watch.

Nigel Robertson 's curator insight, July 31, 2014 8:04 AM
What we already knew and any academic should intrinsically understand this if they are in tune with the people they teach,
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12 Essentials of Prescriptive Analytics for Student Success -- Campus Technology

12 Essentials of Prescriptive Analytics for Student Success -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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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Collecting data on students: is it useful to know which books they've read?

Collecting data on students: is it useful to know which books they've read? | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Universities can gain valuable information by tracking students' behaviour online, but they must be careful not to misuse it
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Turning Learning Measurement Issues into Successful Analytics

Turning Learning Measurement Issues into Successful Analytics | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Did you know that 86% of organizations are focused on reporting, but only 15% of HR functions have strong analytics capabilities? This leads to a disconnect between Learning and Development (L&D) and Corporate within organizations.

Via Vladimir Kukharenko, Luciana Viter
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University to use web data to retain students

University to use web data to retain students | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
QUT is looking to tap the power of analytics with a plan to mine data from multiple systems including massively open online courses.
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Universities Can Predict When Students Are About to Drop Out

Universities Can Predict When Students Are About to Drop Out | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
With access to predictive analytics and more data than ever before, how can universities avoid invading students’ privacy while promoting academic success?
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The Unpredictability of Predictive Analytics 2.0

The Unpredictability of Predictive Analytics 2.0 | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

If I were into scrying (the art of predicting the future by gazing into a crystal ball), I would prophesy that EDUCAUSE Review readers will have two equal and opposite reactions on seeing an issue devoted to predictive analytics. The first reaction might be: "Are we still talking about how to use predictive analytics?" And the second reaction might be: "I wonder what predictive analytics we are using on our campus." We are all accustomed to tracking technologies that are emerging or that may seem to be more hype than substance, but what do we make of technologies like analytics? Here is a combination of tools and practices whose fundamental value is rarely questioned but that have not achieved the traction we might have expected by now. This issue of EDUCAUSE Review is a timely consideration of the state of predictive (and other) analytics across higher education: How are these tools and practices being used, how can they be better used, and how can institutions understand their own progress? How are the tools and practices of predictive analytics being used, how can they be better used, and how can institutions understand their own progress with analytics?

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ECAR Update: New Institutional and Learning Analytics Reports

ECAR Update: New Institutional and Learning Analytics Reports | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
ECAR Update: New Institutional and Learning Analytics Reports
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Report Recommends Ways for Higher Education Leaders to Harness Data to Improve Student Outcomes and Innovate With Integrity

Report Recommends Ways for Higher Education Leaders to Harness Data to Improve Student Outcomes and Innovate With Integrity | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The American Council on Education’s (ACE) Center for Policy Research and Strategy (CPRS) released a new report with support from TIAA Institute, “Evolving Higher Education Business Models: Leading with Data to Deliver Results.”
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Analyzing Analytics at the University | GradHacker

Analyzing Analytics at the University | GradHacker | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
How can the statistics we're gathering about our classrooms help us to become more effective teachers?
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Chapter 4: From Metrics to Analytics, Reporting to Action: Analytics’ Role in Changing the Learning Environment | EDUCAUSE.edu

Chapter 4: From Metrics to Analytics, Reporting to Action: Analytics’ Role in Changing the Learning Environment | EDUCAUSE.edu | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

What will the game-changing tool kit look like for next-generation learning? How can institutions prepare to meet the increasing demands? Institutions will be required to transition from metrics to analytics and from reporting to actionable interventions. In this next generation of the learning environment, analytics will play a role in higher education. But leading the institution from metrics to analytics and reporting to action will require a significant institutional shift.

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Toward a new approach to the evaluation of a digital curriculum using learning analytics

Understanding how an educational intervention is implemented is essential to evaluating its effectiveness. With the increased use of digital tools in classrooms, however, traditional methods of measuring implementation fall short. Fortunately, there
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Future Slant: Analytics | EDUCAUSE.edu

Future Slant: Analytics | EDUCAUSE.edu | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

Analytics is the use of data, statistical analysis, and explanatory and predictive models to gain insights and to act on complex issues. Analytics has already transformed other sectors. In “10 Predictions for What the CIO Role Will Look Like in 2020,” John Brandon quotes CIO Oliver T. Bussmann:  “[CIOs need] to earn a place in the C-suite by looking into the future of where the business is going, and determining the right technology roadmap to enable new business models, to improve margin, or otherwise give their company a leg up on the competition. In many cases this will mean leveraging in-memory computing and analytics to react to and capitalize on trends in real-time.”

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Big Data Comes To College

Big Data Comes To College | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
When students at Purdue University are reading their homework assignments, sometimes the assignments are reading them too. A software program called
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Ethical Discourse: Guiding the Future of Learning Analytics (EDUCAUSE Review) | EDUCAUSE.edu

Ethical Discourse: Guiding the Future of Learning Analytics (EDUCAUSE Review) | EDUCAUSE.edu | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

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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Learning analytics don't just measure students' progress – they can shape it

Learning analytics don't just measure students' progress – they can shape it | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
From online forum debates to predictive essay writing software, data showing how students learn can help universities adapt their teaching
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Analytics at Scale -- Campus Technology

Analytics at Scale -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
MOOCs should be the Holy Grail of student data, but they aren't there yet.

 

One of the great promises of massive open online courses, besides making education more accessible for more students, is the treasure trove of student data collected on a grand scale.

 

Large amounts of data are exactly what higher education needs to stay relevant in this era of disruptive change, as Arizona State University's Adrian Sannier pointed out in his keynote at last year's Campus Technology annual conference. The only way to make sure colleges and universities are continually boosting student success, he said, is evidence-based pedagogy. And that requires scale: "You can't take evidence one class at a time, one person at a time — it takes too long, you don't get a broad enough sample…. I'm not sure you can do it at a university, at a single institution. You may not have enough scale, you may not have enough size."

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