Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Infographic: Learning Analytics 101

Infographic: Learning Analytics 101 | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Learning Analytics can leverage education data and have a true impact on student’s educational experience.

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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.

 

Use the 'Filter' pull-down menu above to search for topics by keywords.


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Craig Patterson's comment, June 13, 2013 1:52 AM
Is this link working?
Kim Flintoff's comment, June 13, 2013 2:12 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 9:02 AM
LOVE #tecademics experience on line ....a matter of  learning and earning http://er972073.tcdmcs.com/ambassador
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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.
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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.
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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’.
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Can creativity be measured? What about resilience? Can we measure problem solving? What about ethical reasoning?
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Supporting Analytics through Data Integration and Governance

Supporting Analytics through Data Integration and Governance | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The case studies presented in this article describes efforts by three institutions to use governance best practices to support institutional analytics
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Big data could bring about workplace utopia – or the office from hell

Big data could bring about workplace utopia – or the office from hell | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The use of big data at work could promote well-being – but only in very specific conditions.
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Purdue App Puts Learning Data into Students' Hands -- Campus Technology

Purdue App Puts Learning Data into Students' Hands -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Engineering students at Purdue University can track their study behaviors with Pattern, a quantified-self tool designed to help learners regulate and improve their habits.
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7 Things You Should Know About Developments in Learning Analytics

Learning analytics is the use of data, analysis, and predictive modeling to improve teaching and learning.
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What Are the Benefits of Learning Analytics?

What Are the Benefits of Learning Analytics? | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Learning analytics are web-based measurements and reporting about student learning that is intended to help teachers improve the knowledge and skill acquisition of their students. This maximizes student learning potential while enhancing teaching and delivery methods. Though its application to education is relatively new, scientific disciplines have been using it for over forty years. Expansion into scholarship was birthed by advanced technology, and the data trails learners leave while using the internet. The data provides several benefits to aid educators and students. In this piece, we will discuss those benefits. Curriculum Mapping and Competency Determination In curriculum mapping, we identify …

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Microcredentials & the Evolution of Badges to Recognize Learning

Phil Long is Associate Vice Provost of Learning Sciences at the University of Texas at Austin.


Transcript:  http://er.educause.edu/multimedia/2017/7/video-microcredentials-and-the-evolution-of-badges-to-recognize-learning

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The Data Workout: How It's Impacting Teaching and Learning - EdSurge Guides

The Data Workout: How It's Impacting Teaching and Learning - EdSurge Guides | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
If you think data—in education, or any field—is cut and dry, think again. Working with data in the classroom, especially, can be either exhausting o
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A nice collection of articles about the different ways you can use data in education.
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Moving the Heart and Head: Implications for Learning Analytics Research

Moving the Heart and Head: Implications for Learning Analytics Research | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
In addition to quantitative accuracy, it is critical for learning analytics to consider design principles and methods of persuasion that convince educ
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Keeping analytics do-able – ASCILITE TELall BlogPost By Mark Nichols

When it comes to successful interventions and solutions in education, it seems they’re either incredibly simple or diabolically expensive. Of course, sometimes the incredibly simple only takes you so far before you really need something diabolically expensive. I suspect, though, that in online learning we sometimes go straight to the diabolically expensive because the incredibly simple seems less innovative!  

Analytics is likely a case in point. I think there are some incredibly simple analytics systems we could propose as online learning professionals that require little or no new financial investment whatever. I'm certainly advocating that we push decision-makers harder for ambitious analytics systems and innovations. Alongside this, though, most of us likely already have all of the data and support we need for making significant improvements to student learning through analytics.
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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.
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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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Why Student Data Should Be Students’ Data | Edutopia

Why Student Data Should Be Students’ Data | Edutopia | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Students can make gains in taking ownership of their work when they’re given access to their data around that work.
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Building an Analytics-Driven Institution: 7 Signs You’re on the Right Path

Within higher education, there is near universal recognition that analytics have transformative potential. So why doesn’t every institution have a rob
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Measuring Learning Will Be Key to Improving It in 2018 - EdSurge News

Measuring Learning Will Be Key to Improving It in 2018 - EdSurge News | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
There is a popular quote attributed to management expert Peter Drucker: “What gets measured gets improved.” In education, the mantra is equally true
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The Academic Library's (Potential) Contribution to the Learning Analytics Landscape

The Academic Library's (Potential) Contribution to the Learning Analytics Landscape | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
As higher education institutions deploy learning analytics platforms to better optimize student learning, the question of what data are collected and in which contexts arises. To fully understand the total student experience, data about student interactions with rec and wellness centers, student support services, and certainly academic advising centers are being collected and analyzed as they're added to the traditional classroom attendance and engagement model.

Yet, when institutions look at potential factors that might impact academic success, libraries may be overlooked.
Kim Flintoff's insight:
As higher education institutions deploy learning analytics platforms to better optimize student learning, the question of what data are collected and in which contexts arises. To fully understand the total student experience, data about student interactions with rec and wellness centers, student support services, and certainly academic advising centers are being collected and analyzed as they're added to the traditional classroom attendance and engagement model. 

Yet, when institutions look at potential factors that might impact academic success, libraries may be overlooked.
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Professors have mixed reactions to Blackboard plan to offer tool for grading online participation

Professors have mixed reactions to Blackboard plan to offer tool for grading online participation | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Blackboard is planning to introduce a new feature in its learning management system later this year to help instructors grade students’ participation in class discussions online. The feature, called the “discussion forum recommended grade,” will use computer algorithms to analyze students’ posts in class discussion forums.
John Whitmer, learning analytics and research director at Blackboard, said that instructors want to use discussion forums to judge students’ participation, but that doing so is time-consuming and difficult since the forums were designed for discussion rather than assessment. These discussion forums are often underused by students, said Whitmer, since there is often little incentive for students to engage
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Blackboard is planning to introduce a new feature in its learning management system later this year to help instructors grade students’ participation in class discussions online.
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Digging into data to support differentiation

Digging into data to support differentiation | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
At the Australian International School (AIS) in Singapore, teachers are using research-informed strategies to support differentiation in maths in the elementary years, with a focus on extending those students who are at the head of the pack.

The project grew out of a push to improve the collecting, analysis, interpretation and use of student data. Mignon Weckert, Assistant Head of Elementary School at AIS, says examining existing data more effectively highlighted areas for improvement.
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Learning Analytics: Avoiding Failure

Learning Analytics: Avoiding Failure | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
In order not to fail, it is necessary to have a clear vision of what you want to achieve with learning analytics, a vision that closely aligns with in
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The Promise of Learning Data Interoperability

Key Takeaways


The current learning data ecosystem is a chaotic, increasingly complex jumble that is producing vast amounts of usage data that are poorly understood and poorly utilized.


To accelerate the move to the Next Generation Digital Learning Environment, we need widespread adoption of learning data standards across institutions.


Early proof-of-concept implementations by two universities illustrate the current maturity of learning data standards and how they address real-world problems.


To achieve standards adoption at a broader scale — and reap the considerable benefits NGDLE promises — key challenges must be understood and addressed.

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ASCILITE TELall Blog – ASCILITE Technology Enhanced Learning Blog Post by Dr Danny Liu

At the University of Sydney, in 2012 two academics in the Faculty of Science started tinkering at an alternative, practical approach to learning analytics. Now in 2017, our learning analytics platform is in use by over 300 academics and professional staff across 17 departments in over 100 units of study, reaching over 20,000 students, and is being piloted at four other Australian universities. Its spread has been mainly due to academics seeing and hearing colleagues talk about its impact on their students and their teaching. What kind of learning analytics are academics so passionate about?

https://youtu.be/o71RMCBGRLU
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Episode 1: The future of learning analytics with Dragan Gašević from Beyond the Lectern Podcast

Episode 1: The future of learning analytics with Dragan Gašević from Beyond the Lectern Podcast | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Listen to Beyond the Lectern Podcast episodes free, on demand. In this episode, Rachel and Jason speak with Professor Dragan Gašević from The University of Edinburgh about the future of learning analytics.

We discussed ideas presented in: Gašević, D., Dawson, S., & Siemens, G. (2015). Let's not forget: Learning analytics are about learning. TechTrends, 51(1), 64–71. Listen to over 65,000+ radio shows, podcasts and live radio stations for free on your iPhone, iPad, Android and PC. Discover the best of news, entertainment, comedy, sports and talk radio on demand with Stitcher Radio.
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