Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Interactive Learning Online at Public Universities: Evidence from Randomized Trials | Ithaka S+R

Interactive Learning Online at Public Universities: Evidence from Randomized Trials | Ithaka S+R | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

"We find that learning outcomes are essentially the same—that students in the hybrid format "pay no price” for this mode of instruction in terms of pass rates, final exam scores, and performance on a standardized assessment of statistical literacy. These zero-difference coefficients are precisely estimated. We also conduct speculative cost simulations and find that adopting hybrid models of instruction in large introductory courses have the potential to significantly reduce instructor compensation costs in the long run."

 

KF:  There is a growing body of such reports suggesting that concerns about academic achievement in online and blended contexts seem to be unfounded.

 

 

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Rescooped by Kim Flintoff from Digital Learning - beyond eLearning and Blended 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 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, 9:02 AM
LOVE #tecademics experience on line ....a matter of  learning and earning http://er972073.tcdmcs.com/ambassador
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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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Data visualisation isn't just for communication, it's also a research tool

Data visualisation isn't just for communication, it's also a research tool | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The daunting complexity of biological data requires tailored visualisation tools to reveal buried insights.
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Effective Learning Analytics | Using data and analytics to support students - JISC

Effective Learning Analytics
Using data and analytics to support students
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Postsecondary Trending Now: Predictive Analytics in the Spotlight

Postsecondary Trending Now: Predictive Analytics in the Spotlight | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Many in the higher education community are intrigued by the value of leveraging institutional analytics to improve student success, and have been for a while. “Institutional Analytics in Higher Education,” a 2016 EDUCAUSE ECAR report, asserts that the aspiration to use analytics to make a difference for students goes back at least a decade.

Could the right combination of software and process reform dramatically improve persistence and completion rates for students — especially students from minority groups or low-income backgrounds? Many institutions are still not quite at the point of investing the resources needed to realize the potential of analytics for student success. That said, the current academic year has seen pioneering projects and early successes draw the media spotlight.
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Role of Machine Learning in Education With Examples

Role of Machine Learning in Education With Examples | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

Machine learning is the science of getting computers to act without being explicitly programmed.

Educators today are open to try new technology in education. As witnessed, integration of technology makes learning and teaching efficient on both ends. Thus, there is rising likability of machine learning in the education. A part of Artificial Intelligence, machine learning is on rising scale of adoption. Other than education, we are so much around this technology that we may not even know. The recommendations from e-commerce that are so much similar to our preferences is all Artificial Intelligence that is working. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. It is all about innovation and improving the life of the millennial and beyond. If you have heard about automated card driving, you already know how machine learning can improve the life of the people.

In education, it does have its own impacts. In this post find out how machine learning is improving the education. Pointers mentioned below indicate the use of machine learning in education along with platforms that are using this technology.

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Why Effective Analytics Requires Partnerships

Why Effective Analytics Requires Partnerships | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
People, processes, tools, and data are critical to effective analytics—as are business, technology, and academic leaders who can partner to find the right investment balance.
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Every picture tells a story, but visualisation can tell the right one

Every picture tells a story, but visualisation can tell the right one | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Along with machine learning, data mining and statistics, visualisations are playing an important role in current-day data analytics.
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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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Why Effective Analytics Requires Partnerships

Why Effective Analytics Requires Partnerships | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
People, processes, tools, and data are critical to effective analytics—as are business, technology, and academic leaders who can partner to find the right investment balance.
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Teachers are using facial recognition to see if students are paying attention

Teachers are using facial recognition to see if students are paying attention | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Remember those days of being in school struggling to concentrate in class? Well, a school in France is hoping to tackle those wandering minds by using technology.

ESG Business School in Paris is starting an artificial intelligence program which will identify whether students are paying attention in class. 
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Postsecondary Trending Now: Predictive Analytics in the Spotlight

The use of predictive analytics is showing results at iPASS institutions, and national and international media outlets have noticed.
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Report Proposes Ethical Practices for Use of Predictive Analytics in Higher Ed -- Campus Technology

Report Proposes Ethical Practices for Use of Predictive Analytics in Higher Ed -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The latest report on predictive analytics from New America proposes five guidelines for ensuring the ethical use of student data in recruiting and retention, such as the avoidance of bias in predictive models and algorithms.
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Smart Sparrow Adds Learner Data Analytics -- Campus Technology

Smart Sparrow Adds Learner Data Analytics -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Adaptive learning company Smart Sparrow today launched new learner data analytics features for its learning design platform that provide real-time feedback on student progress and engagement.
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The New Frontier: Lisa Daniels on the Challenges — and Opportunities — of Building an Analytics Strategy

The New Frontier: Lisa Daniels on the Challenges — and Opportunities — of Building an Analytics Strategy | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it


The assistant vice president for analytics at Excelsior College explains the value of training and the importance of diverse skills.


EDTECH: HOW SHOULD COLLEGES EVALUATE WHETHER THEY NEED A CDO OR EQUIVALENT?

 DANIELS: I don’t think every college has the need or capacity. I’m thinking of the small, liberal arts college that has a fairly small population. They already have a lot of face-to-face time with students. They should look at basic statistics to inform decisions on some level, such as keeping track of their student success rate and whether certain programs are doing better than others. But they don’t necessarily need an elaborate process like I’ve described. In terms of whether colleges should hire an analytics expert, they need to look at the top strategic challenges they are facing. Is it something that analytics could inform and drive decisions on? You have to sit on a large amount of data to have that level of program. Colleges probably have someone with an institutional research capacity doing analytics on some level, but it’s hard for me to say where the tipping point would be.

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