"Learning Analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs."
Data visualization expert Stephen Few said, “Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” With the influx of data and introduction of self-service analytics tools, we're going to need more people capable of communicating insights effectively. The next generation of data storytellers will not be limited to just analysts and data scientists. Everyone will need to know how to tell a story with numbers.
The American Council on Education’s (ACE) Center for Policy Research and Strategy (CPRS) released a new report with support from TIAA Institute, “Evolving Higher Education Business Models: Leading with Data to Deliver Results.”
Designing a textbook or lecture with the average student in mind may sound logical. But L. Todd Rose, who teaches educational neuroscience at Harvard University’s Graduate School of Education, argues that doing so means that the lesson is designed for nobody.
Although states are doing a masterful job of accumulating data and integrating data sources to support education improvement, according to a new report, the next part of the job may be their toughest yet: teaching people how to use the data.
We spoke with dozens of educators across a range of schools—from mainstream to technology-forward—and we conducted an online survey with a nationally representative sample of 4,600 public school teachers.
This study explores four questions:
• What do teachers believe about data-driven instruction and the tools that support it? • How do teachers use data to tailor instruction? • What are key challenges with the tools that support data-driven instruction? • What do teachers need to make data work to inform instruction in the classroom?
This fall, Oral Roberts University (OK) issued Fitbits to on-campus students and Garmin vivofits to online students — part of the "whole person" philosophy at the Tulsa-based institution that urges students to be "well prepared" physically. The data generated by those activity trackers on movement, heart rate and sleep patterns drizzles automatically into the university's D2L gradebook in time for settling up midterm grades and finals. The results are displayed through D2L for faculty and students, just as if they were weekly quiz grades. The Garmin device, added CIO Mike Mathews, syncs with an online service that allows students to set goals and share progress with others.
Eventually, the campus will use the analytics to find out whether tracking the fitness data and making it visible gets students to move their bodies more, which is the goal, after all.
Massive open online course providers are collecting troves of data about their students, but what good is it if researchers can't use the information?
The MOOC Research Initiative formally released its results on Monday, six months after researchers met in Arlington, Texas, to brief one another on initial findings. The body of research -- 22 projects examining everything from how social networks form in MOOCs to how the courses can be used for remedial education -- can perhaps best be described as the first chapter of MOOC research, confirming some widely held beliefs about the medium while casting doubt on others.
Denver — Data mining is creeping into every aspect of student life—classrooms, advising, socializing. Now it’s hitting textbooks, too.
CourseSmart, which sells digital versions of textbooks by big publishers, announced on Wednesday a new tool to help professors and others measure students’ engagement with electronic course materials.
When students use print textbooks, professors can’t track their reading. But as learning shifts online, everything students do in digital spaces can be monitored, including the intimate details of their reading habits.
Higher education IT data needs to go beyond descriptive analysis to new ways of using data and research to align IT strategy with institutional strategy, plan new services and initiatives, manage existing services, and operate the IT organization on a daily basis.
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