The college classroom has been impenetrable for those seeking to understand how students learn. This was more a function of the traditional methods of teaching and learning than a result of any intentional barriers. Student behaviors were fairly opaque—some note taking, possibly classroom discuss
A university that has been testing out the use of an analytics infrastructure to improve student outcomes and retention has reported positive results, including improvements in attendance, course drop rates and course success.
Strayer University, a for-profit institution with about 43,000 on-campus and online students in its fall 2015 enrollment, has been working with analytics software from Civitas Learning, including Student Insights Platform and Inspire for Faculty. The first is an online program that integrates and analyzes data from multiple sources and applies predictive analytics to provide users with information about student behavior and engagement. The second helps instructors pinpoint those students who are doing well and those who are struggling in order to target outreach and interactions.
Computing giant IBM and the nonprofit organization behind popular children's television show "Sesame Street" announced Wednesday a new partnership to bring so-called "cognitive computing" to early childhood education. The idea is to develop products featuring Sesame characters and content that are capable of responding in personalized ways to individual students based on their skills, interests, and developmental trajectories. Key to the effort will be the technology behind IBM's Watson, which takes a "big data" approach to understanding and responding to human language.
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.”
Learning analytics is an emerging, highly interdisciplinary field where many disciplines--such as education, computer science, and engineering--intersect. Since its first significant scholarly gathering in 2011, learning analytics has been increasingly mentioned in news, technical reports, academic publications, and grant solicitations. The surge of this nascent field rests on a promise--and also a premise--that digital traces of learning could be turned into actionable knowledge to promote learning and teaching.
Interest and use of the xAPI has really gathered a pace since the turn of the year, so we’re updating our very popular Learn xAPI MOOC with new content and conversations. 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.
Strayer University has recently gone public with a partnership designed to help identify factors that contribute to success for students in online courses.
"Developed in collaboration with student-success analytics innovator Civitas Learning, the findings often buck conventional wisdom, suggesting that data captured through a student's digital footprints can provide better predictors of success than the typical demographic data points," according to a news release.
Over several years, the university partnered with Civitas to aggregate relevant data from disparate sources in the company's Student Insights Platform. The data was then used to identify initiatives that seemed most promising in engaging students and faculty, improving behavioral mindsets and closing the gap between in-person and online learning.
Most of the more than 40,000 students enrolled at Strayer University in any given semester take classes online. They’re typically working adults who learn asynchronously, participating in lectures and assignments at different times that fit their busy schedules. Strayer is betting big on data ana
When we published “Disrupting Class” in 2008, we didn’t use the phrase “adaptive learning” once in the book. Just eight years later, it’s nearly impossible to imagine writing a book about educational technology and neglecting the term.
With the rapid growth of blended learning and technology more generally in schools, asking if educational software is capable of adapting to students’ needs is commonplace.
Teachers are increasingly attempting to reach each of their students who have distinct learning needs, at different times, with the right learning experience at the right time. Having effective adaptive software turbocharges those efforts and can provide a realistic pathway to accomplish that goal.
The basic idea of my bachelor thesis was to track the ping pong ball in realtime to create data visualisations for trainers and players. After a few weeks of working I started developing a projected mapped interface for the ping pong table to show the collected data. By projecting game obstacles on the surface I figured out that I can change the game play totally.
Kim Flintoff's insight:
Extrapolate to other learning contexts - how will the major subject domains in schools incorporate the inevitability of these sorts of technological and data driven inclusions?
Some things can never change when the concept of internet boom is taken into account. Since the dawn of human civilization, data has been at the forefront — dominating every piece of innovation. Over the period of centuries, we have evolved and so has the information sources— resulting in the emergence of ecommerce boon.
The data dashboard has become more sophisticated, but it is still only one lens through which educators should view their students When Amber Teamann was a teacher in Garland, Texas, seven years ago, her use of data to help guide her instruction was fairly limited.
“Based on the programs I was using, I could evaluate how to differentiate instruction for my students,” she said. But tracking how well her students were meeting specific grade-level standards at any moment during the year wasn’t an option for her at that time, nor was looking at larger trends until after the school year had ended.
Some of us have assessed the situation, & the prognosis is not good for the test. We might be witnessing the death of testing.
I know that it is sad news for some, but more than a few of us have assessed the situation, and the prognosis is not good for our friend (or perhaps the arch enemy to others of us), the test. We might be witnessing the death of testing. Tests are not going away tomorrow or even next year, but their value will fade over the upcoming years until, finally, tests are, once and for all, a thing of the past. At least that is one possible future.
In institutional core data, a course boils down to one data point per learner: the grade. In course management systems, a course easily produces five orders of magnitude more data points per learner. Do we really need two worlds of learning analytics?
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