Learning Analytics--Wider Tracks--Better Outcomes
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Input from educators is essential when designing new schools to support learning

Input from educators is essential when designing new schools to support learning | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

"As schools age and populations shift, district leaders are often charged with overseeing the process of building new schools. While this responsibility is a heavy one, it also allows for innovation and the opportunity for a superintendent to make his mark on a district. New school designs need to include room for technology, collaboration and the opportunity to create a new school identity while still keeping student safety as a primary concern."


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DISCIPLINING INSTITUTIONS OF HIGHER EDUCATION – Accreditation

DISCIPLINING INSTITUTIONS OF HIGHER EDUCATION – Accreditation | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

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Exploratory Analytics? Predictive Analytics? Or Both? - DATAVERSITY

Exploratory Analytics? Predictive Analytics? Or Both? - DATAVERSITY | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
A few weeks ago, I participated in a conference call with an Inquidia customer to discuss their new initiative in predictive analytics. We've already been helping them build a web-based analytic app for about 9 months.
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Why should educators measure learning analytics? - Moodle.com

Why should educators measure learning analytics? - Moodle.com | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
As a Solutions Architect for Leo Learning (one of our Moodle Partners), Peter Dobinson uses “big data” to measure results. In his MoodleMoot UK & Ireland 2017 presentation, Peter shared with us how educators can use analytics to measure the impact of learning. He also explored how doing so can improve teaching and learning experiences. …
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Blackboard brings improved learning analytics

Blackboard today announced the acquisition of X-Ray Analytics, a research-based, predictive analytics technology that helps instructors and organizations meet the learning needs of their students. The technology will be first integrated into Moodlerooms and Enterprise Moodle, Blackboard's services and solutions to institutions and organizations that leverage Moodle, one of the most widely used learning management systems (LMSs) in the world.

Via Bill Paxton, Ed.D.
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X-Ray Analytics -- Blackboard, Moodle -- meeting students where they are....

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How Big Data Will Transform Our Economy And Our Lives In 2015

How Big Data Will Transform Our Economy And Our Lives In 2015 | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

The great Danish physicist Niels Bohr once observed that “prediction is very difficult, especially if it’s about the future.” Particularly in the ever-changing world of technology, today’s bold prediction is liable to prove tomorrow’s historical artifact. But thinking ahead about wide-ranging technology and market trends is a useful exercise for those of us engaged in the business of partnering with entrepreneurs and executives that are building the next great company.

Moreover, let’s face it: gazing into the crystal ball is a time-honored, end-of-year parlor game. And it’s fun.

So in the spirit of the season, I have identified five big data themes to watch in 2015. As a marketing term or industry description, big data is so omnipresent these days that it doesn’t mean much. But it is pretty clear that we are at a tipping point. The global scale of the Internet, the ubiquity of mobile devices, the ever-declining costs of cloud computing and storage, and an increasingly networked physical word create an explosion of data unlike anything we’ve seen before.

The creation of all of this data isn’t as interesting as the possible uses of it. I think 2015 may well be the year we start to see the true potential (and real risks) of how big data can transform our economy and our lives.

Big Data Terrorism

The recent Sony hacking case is notable because it appears to potentially be the first state-sponsored act of cyber-terrorism where a company has been successfully threatened under the glare of the national media. I’ll leave it to the pundits to argue whether Sony’s decision to postpone releasing an inane farce was prudent or cowardly. What’s interesting is that the cyber terrorists caused real fear to Sony by publicly releasing internal enterprise data — including salaries, email conversations and information about actual movies.

Every Fortune 2000 management team is now thinking: Is my data safe? What could happen if my company’s data is made public and how could my data be used against me? And of course, security software companies are investing in big data analytics to help companies better protect against future attacks.

Big Data Becomes a Civil Liberties Issue

Data-driven decision tools are not only the domain of businesses but are now helping Americans make better decisions about the school, doctor or employer that is best for them. Similarly, companies are using data-driven software to find and hire the best employees or choose which customers to focus on.

But what happens when algorithms encroach on people’s privacy, their lifestyle choices and their health, and get used to make decisions based on their race, gender or age — even inadvertently? Our schools, companies and public institutions all have rules about privacy, fairness and anti-discrimination, with government enforcement as the backstop. Will privacy and consumer protection keep up with the fast-moving world of big data’s reach, especially as people become more aware of the potential encroachment on their privacy and civil liberties?

 

Open Government Data

Expect the government to continue to make government data more “liquid” and useful – and for companies to put the data to creative use. The public sector is an important source of data that private companies use in their products and services.

Take Climate Corporation, for instance. Open access to weather data powers the company’s insurance products and Internet software, which helps farmers manage risk and optimize their fields. Or take Zillow as another example. The successful real estate media site uses federal and local government data, including satellite photography, tax assessment data and economic statistics to  provide potential buyers a more dynamic and informed view of the housing market.

Personalized Medicine

Even as we engage in a vibrant discussion about the need for personal privacy, “big data” pushes the boundaries of what is possible in health care. Whether we label it “precision medicine” or “personalized medicine,” these two aligned trends — the digitization of the health care system and the introduction of wearable devices — are quietly revolutionizing health and wellness.

In the not-too-distant future, doctors will be able to create customized drugs and treatments tailored for your genome, your activity level, and your actual health. After all, how the average patient reacts to a particular treatment regime generically isn’t that relevant; I want the single best course of treatment (and outcome) for me.

Health IT is already a booming space for investment, but clinical decisions are still mostly based on guidelines, not on hard data. Big data analytics has the potential to disrupt the way we practice health care and change the way we think about our wellness.

Digital Learning, Everywhere

With over $1.2 trillion spent annually on public K-12 and higher education, and with student performance failing to meet the expectations of policy makers, educators and employers are still debating how to fix American education. Some reformers hope to apply market-based models, with an emphasis on testing, accountability and performance; others hope to elevate the teaching profession and trigger a renewed investment in schools and resources.

Both sides recognize that digital learning, inside and outside the classroom, is an unavoidable trend. From Massive Open Online Courses (MOOCs) to adaptive learning technologies that personalize the delivery of instructional material to the individual student, educational technology thrives on data. From names that you grew up with (McGraw Hill, Houghton Mifflin, Pearson) to some you didn’t (Cengage, Amplify), companies are making bold investments in digital products that do more than just push content online; they’re touting products that fundamentally change how and when students learn and how instructors evaluate individual student progress and aid their development. Expect more from this sector in 2015.

Now that we’ve moved past mere adoption to implementation and utilization, 2015 will undoubtedly be big data’s break-out year.

 


Via Technical Dr. Inc.
Maryruth Hicks's insight:

Digital learning and big data in education might lead to educational reform!

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Irina Donciu's curator insight, January 15, 2015 4:33 AM

The great Danish physicist Niels Bohr once observed that “prediction is very difficult, especially if it's about the future.”

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How Learning Analytics Are Being Used In Education

How Learning Analytics Are Being Used In Education | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

The Horizon Report showcases a number of different examples of institutions that are using learning analytics in different ways.


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From MOOCs to Learning Analytics: Scratching the surface of the 'visual'

From MOOCs to Learning Analytics: Scratching the surface of the 'visual' | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

"The two most prominent trends in education technology, for the moment, appear to be MOOCs and data analytics. While MOOCs are frequently accompanied by references to "disruptive innovation" [1], so-called "big data" in education, or "learning analytics" as it is often termed [2], is also cited in lists of imminent educational trends [3]."


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Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review) | EDUCAUSE.edu

Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review) | EDUCAUSE.edu | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
“EDUCAUSE Review Online (Penetrating the Fog: Analytics in Learning and Education http://t.co/vroq6XNb6n #EDTH818 #LearningAnalytics)”
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Learning analytics at Stanford takes huge leap forward with MOOCs

Learning analytics at Stanford takes huge leap forward with MOOCs | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
“Stanford's Lytics Lab gathers data from massive open online courses to learn more about how we learn. The group studies student behavior to measure interaction and performance. (How Learning Analytics helps universities with MOOCs.”
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MOOCs--Analyzing online student behavior, interaction, and performance
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What is Analytics?

We asked several higher ed professionals what analytics means to them. The results provide an insight into the nature of analytics and what it means to highe...
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The Learning Analyst | TC Media Center

The Learning Analyst | TC Media Center | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

Baker and TC faculty colleagues focus on the exploding field of educational data mining (EDM), which uses advanced computer technologies to sift through huge amounts of data generated by intelligent tutoring systems and other online learning environments for information on how learners behave.  As Baker detailed in his MOOC, data mining – already a staple of the medical, financial services and retail worlds – can reveal why an individual student is getting the wrong answers to a subtraction problem; guide a teacher on how to make the best use of classroom time by pinpointing which homework problem stumped the most students the night before; and tell a superintendent which science curriculum is proving most effective with students across the district.    

 

These are issues that Baker, Associate Professor of Cognitive Studies, has won international recognition for probing.  At 36, he has published more than 150 peer-reviewed papers on the use of EDM that range from assessing boredom and cheating among students who use online tutoring systems to the mining of educational data to better understand metacognition, motivation and self-regulated learning. His ultimate focus is on creating computer-based environments in which users learn because they are genuinely engaged in their work. 

 


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Sharrock's curator insight, January 29, 2014 11:56 AM

excerpt: 

While he has only just begun to look at the data on his own MOOC, Baker is ready to share some anecdotal evidence about the efficacy of MOOC instruction.  Among his observations:

MOOCs are an excellent vehicle for introductory material. Many introductory courses are given by teaching assistants relatively new to teaching. By contrast, MOOC lecturers have to be subject matter experts who carefully hone their lectures and continuously work to improve them.MOOCs fill an educational void when subjects are locally unavailable. Programs in educational data mining, for example, existed in about five cities worldwide before Baker made his course available to anybody with a computer and Internet connection.MOOCs can be a vessel to interest students in more formal education programs, such as TC’s Masters in Cognitive Studies in Education (Focus in Learning Analytics) in the Department of Human Development.

The big question, of course, concerns how MOOC instruction compares with in-classroom learning. Baker takes a measured approach. He thinks MOOCs in their current state will not dominate education partly because of enrollment fall-off rates, but also because MOOCs have been made into an educational hybrid. The lectures, Baker says, are “mostly pretty good,” while homework assignments are not yet as effective.  Baker cautions against making the MOOC all things to all people.

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Predictive Analytics Tools - Predictive Analytics Today

Predictive Analytics Tools - Predictive Analytics Today | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
Review of Predictive Analytics Tools, Analytical Tools and Techniques, Machine learning techniques, Open source and proprietary software.
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Don’t Forget, Instructional Design Is About Problem Solving  

Don’t Forget, Instructional Design Is About Problem Solving   | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

"The rise in demand for instructional design has given way to a series of misconceptions about the discipline; two educators offer an informative view of their profession and its origins."


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Training Analytics

Training Analytics | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
In a financial environment where training organizations are being asked more than ever to prove their worth, effective measurement is probably in the front of everyone’s minds. There are many ways to measure training, from the basic to the advanced. What are some of the analytics you can use to measure training, and more importantly, Related Posts:7-Steps to Creating a Coaching and Mentoring Program…Competency-Based TrainingPreparing For the Move to Online TrainingNo Excuses Corporate TrainingMeasuring Success (ROI) of a Training MOOC, Part 2(Visited 275 times, 1 visits today)
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8 Things Every Educator Should Know About Learning Analytics

8 Things Every Educator Should Know About Learning Analytics | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
By Bob Hand As many modern teachers know, data can be a blessing and a curse. Ideally, data can be used to help students on a personalized basis. However, an increased national focus on data-driven decisions in education has forced school districts to adopt less-than-ideal practices, designed t
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Learning Analytics Startups & Companies For Educators to Keep An Eye On

Learning Analytics Startups & Companies For Educators to Keep An Eye On | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
List of learning analytics startups and companies which make it easy for you to improve student learning outcomes through student data analysis.

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Desire2Learn acquires Degree Compass

Desire2Learn acquires Degree Compass | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

Desire2Learn, a leading LMS company, has acquired Degree Compass, a predictive analytics technology developed atAustin Peay State University in Tennessee. The tool uses historical data — such as past grades, SAT scores and grade point averages — to help students select courses in which they’re likely to achieve an optimal outcome, an idea that was aimed at improving graduation rates.


Via Laura Sterling
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Student success and predictive analytics at work via Desire2Learn...

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MOOCs and other ed-tech bubbles

MOOCs and other ed-tech bubbles | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

Why most of what currently excites the ed-tech world is hot air: MOOCs, Learning Analytics and Open Education Resources, amongst other fads?


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Alberto Acereda, Ph.D.'s curator insight, January 7, 2013 9:20 AM

This is a provocative article.

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Social Learning Analytics applied in a MOOC-environment

Social Learning Analytics applied in a MOOC-environment | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

In this paper from the field we will present an example of a Social Learning Analytics Tool to visualize real-time discussion activities in a MOOC environment. Practitioners and researchers can read how to implement and use such a SLA tool as a plugin in practice.


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Nik Peachey's curator insight, February 3, 2014 3:08 AM

Interesting research about a potntially very useful tool.

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MoodleMoot US 2015: Validating Learning Analytics to Support Student Success by Elizabeth Dalton

Elizabeth Dalton is a doctoral student in Education at the University of New Hampshire, where she attempts to interpret the numbers of quantitative research using a variety of metaphors of human experience and learning. Here at MoodleMoot US 2015 she presents Beyond Counting Clicks: Validating Learning Analytics to Support Student Success.

Elizabeth is also the Moodle system administrator at Granite State College, a public college focusing on the needs of adult students, where the majority of enrollments are in fully online courses hosted in Moodle. Sometimes she teaches college courses in statistics, in which she always learns a lot from her students.

 

 


Via Miloš Bajčetić
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Learning about students, from students, is one of the best ways to determine what works -- the "what works" of teaching and learning enhance processes needed to foster student success.

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Developing the role of big data and analytics in health professional education, Medical Teacher, Informa Healthcare

Developing the role of big data and analytics in health professional education, Medical Teacher, Informa Healthcare | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
“RT @Archemedx: RT @myCME: Developing the role of #bigdata and analytics in health professional education http://t.co/iQjURyyqko #meded #CME…”
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Clinical education, education, learning management systems
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Special Issue: Learning Analytics, Educational Data Mining and data-driven Educational Decision Making - Computers in Human Behavior - Elsevier

Special Issue: Learning Analytics, Educational Data Mining and data-driven Educational Decision Making - Computers in Human Behavior - Elsevier | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
“Learning Analytics is an emerging and promising field in educational research and IT-supported learning processes. Ferguson (2012) defined... (Special Issue: Learning Analytics, Educational Data Mining and data-driven Educational Decision...”
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Featured Report: Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics

Featured Report: Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it

Big data is everywhere—even in education. Researchers and developers of online learning, intelligent tutoring systems, virtual labs, simulations, and learning management systems are exploring ways to better understand and use learning analytics to improve teaching and learning.


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Predicting Dropout Student: An Application of Data Mining Methods ...

Predicting Dropout Student: An Application of Data Mining Methods ... | Learning Analytics--Wider Tracks--Better Outcomes | Scoop.it
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies ...
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Dennis T OConnor's comment, March 1, 2014 8:32 PM
Nice find Maryruth. This is an area of particular interest to me.