EdTech Magazine
JANUARY 19, 2018
From learning analytics tools providing students with instant feedback on their work to virtual reality facilitating field trips to faraway lands to 3D printers filling makerspaces, the classroom looks quite a bit different than it did just five years ago. Learning Analytics Tools Provide Real-Time Feedback.
EdTech4Beginners
MAY 10, 2018
Education technology platforms like Study.com use Virtual Classrooms to seamlessly integrate teacher feedback, dynamic learning, analytics, and personalization when assigning homework. Teachers can use Study.com’s virtual classrooms to create and grade homework assignments using Study.com’s vast library of content.
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Iterating Toward Openness
JULY 23, 2018
Learning analytics, on the other hand, can provide great insight into where course materials – including OER – are not effectively supporting student learning. The R package makes RISE analysis as simple as: library(rise) output <- rise_analysis(your_data_frame).
edWeb.net
JANUARY 22, 2021
Once these types of factors are thought through, applications like Google Data Studio can speed up the creation of customized reports through the use of menus, drop-down lists, and drag-and-drop features, while also providing color and font choices that make the data easier and faster for recipients to review and put to good use.
Hack Education
MARCH 23, 2018
For example, this story from the School Library Journal : “ Charter Schools , Segregation , and School Library Access.” ” “ No, YouTube is not a library – and why it matters” by Sarah T. ” Via The New York Times : “ Google Pledges $300 Million to Clean Up False News.”
Hack Education
DECEMBER 9, 2017
Computing platforms have different abstraction levels, including a computer architecture, an OS, or runtime libraries. To believe that would require, of course, that we overlook the role that the major technology platforms – Google, Facebook, and Amazon – play in education. Education’s Proto-Platforms.
Robert Talbert, Ph.D.
JANUARY 6, 2023
in mathematics and 25 years' experience as a professor, including some background in Python, when I decided to get serious about learning R and data science (and learning analytics in particular) and attended the LASER Institute at NC State this year, I was starting from zero. After Googling ( stop laughing at me! )
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