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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Curtin Teaching and Learning - eLearning: eLearning advisors

Curtin Teaching and Learning - eLearning: eLearning advisors | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The diverse team of eLearning advisors provide elearning workshops, send out periodic newsletter, provide customised consultation, support the eScholar program and more.

 

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Craig Patterson's comment, June 13, 2013 6:52 AM
Is this link working?
Kim Flintoff's comment, June 13, 2013 7:12 AM
The website was redesigned and we disappeared ... This scoop is simply a flag about who's curating... We didn't expect anyone wold ever want to visit us.....
Regis Elo's curator insight, January 13, 2017 2:02 PM
LOVE #tecademics experience on line ....a matter of  learning and earning http://er972073.tcdmcs.com/ambassador
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Combining Data from Multiple Digital Learning Tools Produces Better Predictions

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: Translating Learning Analytics Research for Teachers (Paperback) - Routledge

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 Rocky Road of Using Data to Drive Student Success

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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Retention Early Warning Systems

Retention Early Warning Systems | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

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?


When a student is struggling, even the best educator can miss warning signs. A student can fall through the cracks in a large class. Or quickly flounder from personal pressure outside the classroom. Some of those students don’t have good study skills, or are too distracted to notice when they are starting to get into trouble.

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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Scholars Have Data on Millions of Facebook Users. Who’s Guarding It?

Scholars Have Data on Millions of Facebook Users. Who’s Guarding It? | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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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When Learning Analytics Violate Student Privacy

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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The Importance Of Learning Analytics In Instructional Design

The Importance Of Learning Analytics In Instructional Design | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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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Architecting for Learning Analytics: Innovating for Sustainable Impact | EDUCAUSE

Architecting for Learning Analytics: Innovating for Sustainable Impact | EDUCAUSE | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
In light of the significant investments that some colleges and universities are making in their analytics infrastructures, how can an institution arch
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Creating a Data-Enabled Institutional Culture | EDUCAUSE

Creating a Data-Enabled Institutional Culture | EDUCAUSE | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
This Featured Topic Guide highlights the best and most current EDUCAUSE resources to help you:

Learn: Read about higher education institutional analytics topics and find proven practices that helped other institutions implement business intelligence and analytics programs.
Plan: Benchmark your current data capabilities and lay the groundwork for your institutional analytics strategic direction.
Do: Implement business intelligence and analytics practices and validate your forward progress.
Share: Discuss your lessons learned and contribute your institutional analytics expertise to the higher education IT community.
Kim Flintoff's insight:
This Featured Topic Guide highlights the best and most current EDUCAUSE resources to help you: Learn: Read about higher education institutional analytics topics and find proven practices that helped other institutions implement business intelligence and analytics programs. Plan: Benchmark your current data capabilities and lay the groundwork for your institutional analytics strategic direction. Do: Implement business intelligence and analytics practices and validate your forward progress. Share: Discuss your lessons learned and contribute your institutional analytics expertise to the higher education IT community.
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NGDLE Learning Analytics: Gaining a 360-Degree View of Learning | EDUCAUSE

NGDLE Learning Analytics: Gaining a 360-Degree View of Learning | EDUCAUSE | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Since the 2015 release of the EDUCAUSE report The Next Generation Digital Learning Environment: A Report on Research, many articles have been written on various aspects of the NGDLE. In this post, we'll focus on the need for a central repository for learning analytics (see figure 1). Without a central repository, the learning environment — including LMS data and activity records for videos, e-portfolios, and third-party tools — becomes compartmentalized and stove-piped, making it difficult to provide a 360-degree view of the learner and learning environment. This makes it much more difficult to have a combined view of student learning activities that can allow instructors and program managers to ascertain the effectiveness of teaching and learning.
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Article Data-driven Classrooms for Personalized Learning

Article Data-driven Classrooms for Personalized Learning | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Educators at Summit Prep in Redwood, California use data to shape classroom instruction. From regular surveys, teachers are able to find out the best way to adapt lessons to meet students’ needs. The Summit approach views collecting data as important no matter how that information is gathered. Surveys can be as simple as a thumbs up/thumbs down or as tech-dependent as a Google form. While assessments are the differentiating factor at this school, the focus is on the results of these surveys to shape instruction.
Kim Flintoff's insight:
Educators at Summit Prep in Redwood, California use data to shape classroom instruction. From regular surveys, teachers are able to find out the best way to adapt lessons to meet students’ needs. The Summit approach views collecting data as important no matter how that information is gathered. Surveys can be as simple as a thumbs up/thumbs down or as tech-dependent as a Google form. While assessments are the differentiating factor at this school, the focus is on the results of these surveys to shape instruction.
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EdTech: Big Data Analytics To Revolutionize Online Learning

EdTech: Big Data Analytics To Revolutionize Online Learning | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Ian Myatt, director of educational enterprise at the University of Birmingham, discusses how big data analytics will change the way we learn
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Teaching intelligence: how to use learning analytics

Teaching intelligence: how to use learning analytics | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Your university’s new learning analytics service has flagged that a student is disengaging – what now?
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Data Analytics and Student Advising: Creating a Culture Shift on Campus

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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Big Data Is Getting Bigger. So Are the Privacy and Ethical Questions.

Big Data Is Getting Bigger. So Are the Privacy and Ethical Questions. | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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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Setting the Table: Responsible Use of Student Data in Higher Education | EDUCAUSE

Setting the Table: Responsible Use of Student Data in Higher Education | EDUCAUSE | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
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
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Learning Analytics and Student Success

Learning Analytics and Student Success | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

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.

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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Report: Adaptive Learning, Learning Analytics Are Most Wanted Tech for Online Programs

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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Where is the field of learning analytics heading? Reflections from the Learning Analytics & Knowledge Conference – ASCILITE TELall Blog

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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A Researcher, an Advisor, and a Marketer Walk into a Predictive Analytics Tool… | EDUCAUSE

A Researcher, an Advisor, and a Marketer Walk into a Predictive Analytics Tool… | EDUCAUSE | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Predictive analytics is no silver bullet, but given time and resources, it can yield impressive results.
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Digital Capabilities in Higher Education, 2016 | EDUCAUSE

Technology is key to the future of higher education. Digital capabilities describe the application of technology to the core functions of an enterprise. Using data from EDUCAUSE Core Data Service maturity and deployment indices, the Digital Capabilities in Higher Education reports are designed to provide a view into the current status of digital capabilities within higher education.

Maturity indices measure the capability to deliver IT services and applications in a given area. They examine not just technical dimensions of progress but also multiple dimensions such as culture, process, expertise, investment, and governance. Maturity indices enable institutions to determine where they are and where they aspire to be.

Deployment indices measure stages of deployment for specific technologies and services, which are aggregated to track progress in an area.
Kim Flintoff's insight:
Technology is key to the future of higher education. Digital capabilities describe the application of technology to the core functions of an enterprise. Using data from EDUCAUSE Core Data Service maturity and deployment indices, the Digital Capabilities in Higher Education reports are designed to provide a view into the current status of digital capabilities within higher education. Maturity indices measure the capability to deliver IT services and applications in a given area. They examine not just technical dimensions of progress but also multiple dimensions such as culture, process, expertise, investment, and governance. Maturity indices enable institutions to determine where they are and where they aspire to be. Deployment indices measure stages of deployment for specific technologies and services, which are aggregated to track progress in an area.
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When Learning Analytics Violate Student Privacy

When Learning Analytics Violate Student Privacy | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

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.

Kim Flintoff's insight:
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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Article Using Data to Look at Whole Students, Not Just Their Test Scores

Article Using Data to Look at Whole Students, Not Just Their Test Scores | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Panorama is dedicated to collecting data on the whole child, as well as on the whole school, and has created a series of resources to collect data on social-emotional issues that are generally difficult to measure, such as levels of grit, growth mindset, and sense of belonging. Looking at these levels in addition to student scores and grades could help teachers better understand the needs of their students, whether individually or as a group. In addition, Panorama utilizes surveys to measure teacher engagement and family involvement, realizing that these factors are indispensable to school climate.
Kim Flintoff's insight:
Panorama is dedicated to collecting data on the whole child, as well as on the whole school, and has created a series of resources to collect data on social-emotional issues that are generally difficult to measure, such as levels of grit, growth mindset, and sense of belonging. Looking at these levels in addition to student scores and grades could help teachers better understand the needs of their students, whether individually or as a group. In addition, Panorama utilizes surveys to measure teacher engagement and family involvement, realizing that these factors are indispensable to school climate.
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Article Students Can Use Data Too

Article Students Can Use Data Too | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
In today’s climate of prioritizing data-driven practices in education, it is usually teachers and administrators poring over student performance data; rarely is the focus ever on students using data to improve their learning. But recently, researchers conducted a study on two sixth grade science classes in the Midwest, hoping to answer the question of whether middle school students can think metacognitively about their learning and use data about their performance to seek appropriate supports in their learning.
Kim Flintoff's insight:
In today’s climate of prioritizing data-driven practices in education, it is usually teachers and administrators poring over student performance data; rarely is the focus ever on students using data to improve their learning. But recently, researchers conducted a study on two sixth grade science classes in the Midwest, hoping to answer the question of whether middle school students can think metacognitively about their learning and use data about their performance to seek appropriate supports in their learning.
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But can we measure it?

But can we measure it? | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
It’s often asserted that some things can’t be measured. But how true is this? And if we can’t measure something, should we stop pretending we can teach or develop it?

Can creativity be measured? What about resilience? Can we measure problem solving? What about ethical reasoning?

We take for granted the measurement of variables such as length, weight and temperature, but it is worth remembering that these variables and their measurement were human inventions. Albert Einstein made this point in the Evolution of Physics when he observed that ‘physical concepts are the free creations of the human mind and are not, however it may seem, uniquely determined by the external world’.
Kim Flintoff's insight:
Can creativity be measured? What about resilience? Can we measure problem solving? What about ethical reasoning?
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