Learning Analytics, Educational Data Mining, Adaptive Learning
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Learning Analytics, Educational Data Mining, Adaptive Learning
Making sense of results and student activity
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Scooped by Kim Flintoff
October 22, 2016 3:38 AM
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Apple, IBM launch Watson Element for Educators, their first mobile app for schools

Apple, IBM launch Watson Element for Educators, their first mobile app for schools | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Apple and IBM have announced the latest product in their MobileFirst collaboration: IBM Watson Element for Educators. The app marks more than just a continued collaboration between the two companies — it’s also the first time they have teamed up for an education-focused project.

The app was designed for the iPad, and it’s aimed at helping teachers track the academic performance of students, as well as their special interests, accomplishments, and general behavior. Teachers will also be able to add notes about specific students.
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Scooped by Kim Flintoff
October 17, 2016 11:19 PM
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Futurist says robots will share the classroom, not take it over

Futurist says robots will share the classroom, not take it over | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
About 50 years from now, classrooms will become virtual, artificial intelligence will help run schools, and education won’t run on an “authoritarian model”. Yet teachers and school buildings will remain, a learning futurist and consultant has predicted.
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Scooped by Kim Flintoff
October 13, 2016 5:58 PM
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Analytics for the Classroom Teacher

Analytics for the Classroom Teacher | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you!

Analytics for the Classroom Teacher is an introduction to the emerging field of teaching and learning analytics from the perspective of a classroom teacher.

Experts from all over the world will provide an overview of the current state-of-the-art in teaching and learning analytics. You’ll learn how teachers, curriculum developers and policy makers are collecting and analysing data from the classroom to help guide decisions at all levels.

The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom.
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Scooped by Peter Mellow
October 11, 2016 5:14 PM
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As Concerns Grow About Using Data to Measure Faculty, a Company Changes Its Message

As Concerns Grow About Using Data to Measure Faculty, a Company Changes Its Message | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Professors have expressed displeasure with Academic Analytics, a company that tracks journal articles, citations, books, and grants to account for scholarly productivity. Now Georgetown has dropped the service, arguing that it is of questionable valu
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Scooped by Kim Flintoff
October 4, 2016 3:55 AM
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The Shifting Paradigm of Teaching: Personalized Learning According to Teachers | KnowledgeWorks | College and Career Readiness

The Shifting Paradigm of Teaching: Personalized Learning According to Teachers | KnowledgeWorks | College and Career Readiness | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
In today’s technology-driven world, teachers may no longer be the sole keepers of knowledge. But they are more important than ever in preparing students for an ever-changing workforce.

Based on interviews with teachers, instructional coaches and principals, the report explores what drives educators to build personalized learning environments in the classroom. It also provides excerpts from educator interviews and teacher reflections on how vision, culture and transparency have impacted personalized learning implementation.
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Scooped by Peter Mellow
September 28, 2016 6:34 PM
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Planting the Seeds of Analytics

Planting the Seeds of Analytics | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
The successful use of analytics across multiple industries has inspired higher education institutions like Valdosta State University to explore innovative uses of insights from data for both academic and operational functions.
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Scooped by Kim Flintoff
September 23, 2016 6:54 PM
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Getting past the broken teachers vs. tech debate

Getting past the broken teachers vs. tech debate | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it

The truth is, in the era of artificial intelligence, the most valued and secure jobs will be those that require complex social skills—such as teaching. Good teachers do more than just convey information. They coach and mentor their students to make learning relevant and meaningful, and they foster students’ interests in tackling complex, real-world problems. And while technology can replicate teachers’ expertise in dispensing information and assessing students’ knowledge of rote facts and skills, it is far from replacing the teacher’s role in providing expert feedback on critical thinking, communication, and leadership.


It’s important to remember, however, that substituting technologies for certain teaching tasks is a critical innovation for advancing the education system’s ability to serve all students. In the current factory-based educational model, teachers simply can’t give all their students the individualized feedback and coaching they need. But the more we utilize the best recorded lectures, documentary films, and instructional technologies to replace live lectures, the more we can free up teachers to spend their time working closely with their students to foster deeper learning. When students are able to get foundational knowledge and skills through technology-based instruction, teachers can evolve their purpose in the classroom and focus their time on providing expert feedback on higher-order skills and tackling complex, real-world problems with their students.

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Scooped by Peter Mellow
September 21, 2016 6:12 PM
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Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education

Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Analytics progress in higher education is moving slowly, at best. How can colleges and universities mature their analytics capabilities without working twice as hard?
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Scooped by Peter Mellow
September 18, 2016 7:59 PM
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UTA to design new models for networked group learning and online work settings for the third generation of internet, or Web 3.0 - UTA News Center

UTA to design new models for networked group learning and online work settings for the third generation of internet, or Web 3.0 - UTA News Center | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it

New research at The University of Texas at Arlington will analyze massive scale data traces from online work and learning communities to create new designs for networked learning and next generation knowledge building on the internet. 


The internet is today characterized by the convergence of ubiquitous connectivity, networked computing, and more intelligence through machine learning and artificial intelligence.  The data sets used include social networking sites, medical devices, telescopes and satellites to emails, streaming data, financial and commercial transactions.

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Scooped by Peter Mellow
September 18, 2016 6:33 PM
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Gaps in education data: there are many questions for which we don't have accurate answers

Gaps in education data: there are many questions for which we don't have accurate answers | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Education policy in Australia is being held back by a lack of data.
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Scooped by Peter Mellow
September 15, 2016 9:39 PM
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Video: Gartner's Glenda Morgan on Learning Analytics

Video: Gartner's Glenda Morgan on Learning Analytics | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Glenda Morgan talks about the current and future state of learning analytics.
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Scooped by Peter Mellow
September 13, 2016 6:26 PM
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Leading the Way in Learning Analytics by @jessiebrown224

Leading the Way in Learning Analytics by @jessiebrown224 | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Earlier this week my Ithaka S+R colleagues and I published “Student Data in the Digital Era: An Overview of Current Practices,” in which we review how institutions of higher education are currently using student data, and some of the practical and ethical challenges they face in doing so. As we conducted research for this report, part of our Responsible Use of Student Data in Higher Education project with Stanford University, we heard recurring concerns about the growing role of for-profit vendors in learning analytics. These third-party vendors, the argument goes, operate without the ethical obligations to students that institutions have, and design their products at a remove from the spaces where learning happens.
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Scooped by Kim Flintoff
September 7, 2016 9:19 PM
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What Clicks From 70,000 Courses Reveal About Student Learning

What Clicks From 70,000 Courses Reveal About Student Learning | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Students who frequently check their grades throughout the semester tend to get better marks than do those who look less often.

That’s one of the findings from a new study by Blackboard, a company that sells course-management software to hundreds of colleges. It’s probably one of the deepest data dives ever done on student clicks on college web systems, analyzing aggregate data from 70,000 courses at 927 colleges and universities in North America during the spring 2016 semester.
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Scooped by Kim Flintoff
October 18, 2016 1:30 AM
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The Next Great Hope for Measuring Learning

The Next Great Hope for Measuring Learning | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
The long search for an answer to one of higher education’s most pressing questions led here, to the basement of a bistro outside Hartford.

What do students really learn in college?

To find answers, about 20 faculty members from Central Connecticut State University came to spend the waning days of summer break analyzing hundreds of samples of students’ work.

Carl R. Lovitt, their provost, gave them a pep talk over bagels and coffee: "You are engaged in work of meaningful national significance."

Academe has been pilloried for decades, he said, for its lack of accountability. This project could remedy that. It’s the kind of acronym-heavy, jargon-laced endeavor that’s easily overlooked. But by measuring students’ intellectual skills, it might turn out to provide telling insight into one of higher education’s central functions.
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Scooped by Kim Flintoff
October 16, 2016 9:47 PM
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Learning analytics and interoperability—a new standard - Blackboard Blog

Learning analytics and interoperability—a new standard - Blackboard Blog | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it

Learning analytics can be like shining a flashlight into a deep cave.

In an instant, access to data about teaching and learning practices illuminates facts about actual behavior that would otherwise be left to speculation and anecdote. But just as we need multiple light sources to shed light into the many caverns that connect to a single cave, collecting data from multiple learning tools has traditionally involved aggregating a series of independent data extraction processes.


As learning management systems (LMS) become next generation learning environments (NGLE), they increasingly function as hubs for connecting a wide variety of other learning technologies. But, in their current state, educational tools vary widely in terms of the kinds of data they collect, and in the extent to which they make their data available to other systems.

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Scooped by Peter Mellow
October 12, 2016 5:16 PM
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Reflecting on Learning Analytics

Technological leaders must draw on the strengths of both the proponents and the skeptics in our communities to ensure that institutional mechanisms are in place to examine the overall efficacy of learning analytics systems.
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Scooped by Kim Flintoff
October 5, 2016 8:51 PM
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Making Analytics Accessible, Understandable, and Actionable

Making Analytics Accessible, Understandable, and Actionable | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it

Key Takeaways


Higher education data professionals need to work to take the complexity out of institutional data, making it easily accessible, understandable, and actionable.
Institutions must take fundamental steps to successfully implement an effective, institution-wide business intelligence and analytics capability.


In building this capability, institutions must provide greater visibility into the critical connections between enrollment, student outcomes, and financial data.


Technology alone isn't the answer — investing in data science and storytelling expertise is critical to glean insights that lead to action.

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Scooped by Peter Mellow
September 30, 2016 3:23 AM
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Completing the Loop: Returning Meaningful Learning Analytic Data to Teachers

Completing the Loop: Returning Meaningful Learning Analytic Data to Teachers | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Completing the Loop: Returning Meaningful Learning Analytic Data to Teachers page in the Melbourne CSHE site.
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Scooped by Peter Mellow
September 28, 2016 6:32 PM
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Blending Human Intelligence and Analytics for Student Success

Blending Human Intelligence and Analytics for Student Success | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Grinnell College is combining learning analytics with human-intelligence networks to increase student retention and completion. Social and psychological factors linked to learning data help predict a student's success.
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Scooped by Peter Mellow
September 21, 2016 6:13 PM
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Progress for the U-Pace Online Instructional Approach

U-Pace instructors leverage learning management system analytics about student engagement and performance to provide proactive, personalized support. Evidence shows that the model increases success for all students, at risk or not.
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Scooped by Kim Flintoff
September 19, 2016 2:31 AM
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Analytics for the Classroom Teacher

Analytics for the Classroom Teacher | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you!

Analytics for the Classroom Teacher is an introduction to the emerging field of teaching and learning analytics from the perspective of a classroom teacher.

Experts from all over the world will provide an overview of the current state-of-the-art in teaching and learning analytics. You’ll learn how teachers, curriculum developers and policy makers are collecting and analysing data from the classroom to help guide decisions at all levels.

The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom.

You’ll learn to use analytics to improve your lesson plans and your delivery of those plans, and discover more about your students' learning.

No previous knowledge in data-driven instruction, teaching and learning analytics is needed. Join us and a large community of innovative teachers from around the globe and become a pioneer of teaching and learning analytics in your school.
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Rescooped by Peter Mellow from Learning and Teaching in an Online Environment
September 18, 2016 6:57 PM
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Understanding Learning and Learning Design in MOOCs: A Measurement-Based Interpretation | Milligan | Journal of Learning Analytics

Understanding Learning and Learning Design in MOOCs: A Measurement-Based Interpretation
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Rescooped by Peter Mellow from Learning with MOOCs
September 15, 2016 10:07 PM
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The Challenge of Understanding MOOC Data -- Campus Technology

The Challenge of Understanding MOOC Data -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning | Scoop.it
Four years after the launch of edX, the data generated by massive open online courses still mystifies many institutions. Could inter-university collaboration unlock the secrets to better course delivery?
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Scooped by Peter Mellow
September 13, 2016 7:18 PM
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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 | Scoop.it
From online forum debates to predictive essay writing software, data showing how students learn can help universities adapt their teaching
José Luis M. León's curator insight, September 15, 2016 1:43 AM
El Aprendizaje de Análisis No Solo Medir El Progreso de los Estudiantes - Que pueden Darle forma
Scooped by Peter Mellow
September 11, 2016 3:23 AM
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Big data's deluge in higher ed

As college students click, swipe and tap through their daily lives – both in the classroom and outside of it – they're creating a digital footprint of how they think, learn and behave that boggles the mind.
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