Remove Examples Remove Google Remove Learning Analytics Remove Personalized Learning
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The Histories of Personalized Learning

Hack Education

You hear a lot of these sorts of proclamations when it comes to “personalized learning,” which is (increasingly) frequently invoked in direct opposition to some imagined or invented version of learning in the present or in the past.

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Against the 3A’s of EdTech: AI, Analytics, and Adaptive Technologies in Education

ProfHacker

I can see evidence around me that AI (Artificial Intelligence), Analytics and Adaptive Learning are being pushed in the education field, but I have a strong aversion to all of them, mainly on ethical grounds. For example, learning analytics may look at how many times someone has watched a video and for how long.

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Here's How Single Sign-On Saved One District 2,500 Hours of Instructional Time Per Month

Edsurge

And that is a very conservative number, based only on time saved using the top six critical core web applications from Pearson, McGraw-Hill, PowerSchool, Houghton Mifflin Harcourt, and Google Classroom. There is also more time for students to reflect on learning and for teachers to reflect on lessons.

BYOD 149
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The 100 Worst Ed-Tech Debacles of the Decade

Hack Education

That being said, if you’re using a piece of technology that’s free, it’s likely that your personal data is being sold to advertisers or at the very least hoarded as a potential asset (and used, for example, to develop some sort of feature or algorithm). Certainly “free” works well for cash-strapped schools.

Pearson 145
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Reading Students Through a Tech Lens

edWeb.net

Looking at variables such as student connectivity (and when that happened), virtual engagement, time spent on learning events and access to collaboration and productivity tools like Google Suite, Zoom and Khan Academy informed approaches to instruction and support systems.

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The Weaponization of Education Data

Hack Education

I pointed to several historical examples of how the collection, categorization, and analysis of data led to discriminatory and even deadly political practices – racism and the US Census, for example, and the history of IBM and how its statistical analysis helped the Nazis identify Jews. Predicting.

Data 78
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Education Technology and the Power of Platforms

Hack Education

” In his book, Srnicek identifies five kinds of platforms: advertising platforms (like Google and Facebook), cloud platforms (like Salesforce and Amazon Web Services), industrial platforms (like GE and Siemens), product platforms (like Spotify), and lean platforms (like Uber and AirBnB). Education’s Proto-Platforms.