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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Harvard and MIT Turn MOOC Data into Knowledge

Harvard and MIT Turn MOOC Data into Knowledge | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Harvard and MIT have created open-source tools to manage the growing data from edX MOOCs. Their workflow can help higher education institutions learn more from their own educational data and improve the overall educational experience.
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Education Technology and the Ideology of Personalization

Education Technology and the Ideology of Personalization | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it

We readily recognize Facebook and Twitter as these sorts of platforms; but I’d argue that they’re more pervasive and more insidious, particularly in education. There, platforms include the learning management systems and student information systems, which fundamentally define how teachers and students and administrators interact. They define how we conceive of “learning”. They define what “counts” and what’s important. 


They do so, in part, through this promise of “personalization.” Platforms insist that, through data mining and analytics, they offer an improvement over existing practices, existing institutions, existing social and political mechanisms. This has profound implications for public education in a democratic society. More accurately perhaps, the “platform society” offers merely an entrenchment of surveillance capitalism, and education technologies, along with the ideology of “personalization”, work to normalize and rationalize that.

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Building an evidence-base for teaching and learning design using learning analytics data - Ako Aotearoa

Building an evidence-base for teaching and learning design using learning analytics data - Ako Aotearoa | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
This NPF project will use participatory action research case studies to develop ways to translate learning analytics data into useful information for tertiary teachers and learning designers.
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5 Big Data And Analytics Learning Resources That Most People Miss (But Shouldn't)

5 Big Data And Analytics Learning Resources That Most People Miss (But Shouldn't) | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Had enough of election talk from FiveThirtyEight? These lesser-known analytics blogs offer fresh topics.
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Survey: Students Think Schools Should Use Personal Data to Improve College Experience -- Campus Technology

Survey: Students Think Schools Should Use Personal Data to Improve College Experience -- Campus Technology | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Seventy-seven percent of college students think schools should do a better job of using their personal data to improve the college experience, according to a new survey from Ellucian.

The company released the results of a survey on the same day as its new data analytics platform, Ellucian Analytics. The online survey was conducted by Wakefield Research from October 13 to 18 and included 1,000 United States college students.

The key takeaway from the survey is that students already share vast amounts of personal data with their schools, and they expect those schools to use that data in ways that benefit them. "Today's students are savvy users of technology and comfortable sharing their data, but they expect more from colleges and universities when they do," said Jeff Ray, president and CEO of Ellucian, in a prepared statement. "They expect institutions to utilize their data to improve their educational/academic experience just like the apps on their phone."
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An Introduction to xAPI Data Analysis | HT2 Resources

An Introduction to xAPI Data Analysis | HT2 Resources | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
Join this MOOC to explore both the technical realities and the strategic possibilities of the xAPI.
If you want to write your first xAPI statement and understand the difference between an Activity Type and a Context Extension, this is the place to be.
Equally, if neither of these things mean a darn thing, we are the community that will help you make sense out of your data strategy, and your roadmap for the medium term. This MOOC will be open to contribution and allow you to explore the content and conversations that best fit your needs.
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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 in Higher Education | 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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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 in Higher Education | 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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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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Making Analytics Accessible, Understandable, and Actionable

Making Analytics Accessible, Understandable, and Actionable | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | 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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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 in Higher Education | Scoop.it
Completing the Loop: Returning Meaningful Learning Analytic Data to Teachers page in the Melbourne CSHE site.
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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 in Higher Education | 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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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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SUPPORTING STUDENTS’ OWNERSHIP OF THEIR LEARNING WITH ANALYTICS

The Faculty of Engineering, Architecture and Information Technology (EAIT) at the University of Queensland has looked at learning analytics in new ways to encourage students to take ownership of their own learning.
For more information please see: https://www.elipse.uq.edu.au/
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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 or exhilarating—depending on your fitness level. Data can be big, but also quite small. It’s often quantitative, but is increasingly qualitative. It’s pr
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Data-Informed Learning Environments

Data-Informed Learning Environments | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
The rapid growth in data generated and collected during educational activities has great potential to inform how we teach and learn. In creating data-informed learning environments, campuses can generate synergies between learning analytics and learning design that allow for real-time adjustment and long-term iterative improvement of digital and classroom-based learning environments.

Data collected in the course of learning activities offers the appealing opportunity for educators to understand how students actually engage in the academic experiences designed for them. This provides a more detailed, comprehensive, and (relatively) impartial version of the kind of classroom feedback that instructors have relied on informally for years. The availability of real-time diagnostic information can support instructors in making responsive adjustments to their teaching in the moment and lead to iterative improvements in learning designs over the long term.
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IBM Watson Launches First Mobile App For Education (EdSurge News)

IBM Watson Launches First Mobile App For Education (EdSurge News) | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
IBM Watson proved on Jeopardy it can process and “learn” information much faster than humans. But how well can it help teachers and students learn?

Last week, IBM Watson released Element for Educators, an iOS app designed for the iPad to give teachers a better understanding of factors affecting student performance. The tool also serves as a communications platform for teachers to share notes with other teachers or across the district, whether it’s about a curriculum standard or a student’s grade dropping.

The app is IBM Watson Education’s first education app, and the company, along with Apple, approached Coppell Independent School District in Coppell, Texas, to help build and pilot the app about a year ago. Marilyn Denison, the district’s assistant superintendent for curriculum and instruction, met with the company product teams every week to give feedback on the app.
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Universities Can Predict When Students Are About to Drop Out

Universities Can Predict When Students Are About to Drop Out | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | Scoop.it
With access to predictive analytics and more data than ever before, how can universities avoid invading students’ privacy while promoting academic success?
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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 in Higher Education | 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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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 in Higher Education | 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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Analytics for the Classroom Teacher

Analytics for the Classroom Teacher | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | 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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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 in Higher Education | 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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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 in Higher Education | 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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Planting the Seeds of Analytics

Planting the Seeds of Analytics | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | 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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Getting past the broken teachers vs. tech debate

Getting past the broken teachers vs. tech debate | Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education | 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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