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Securly Discern: The Future of AI in Education has Arrived

Securly

Securly Discern is a revolutionary AI that generates insights based on students’ online activities and digital footprints, automating data collection and analysis for schools. For more information about AI in education and how Discern ensures student data privacy, read the blog. Sign up here.

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States bet big on career education, but struggle to show it works

The Hechinger Report

Credit: Patrick Wall for The Hechinger Report Now, Louisiana is one of a few states seeking to combine its data sets in order to track students from preschool into college and careers. Until then, students’ post-high school employment outcomes remain a mystery. The rest keep school and work data separate.

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How Districts Can Unlock Actionable Data

edWeb.net

School districts are struggling with the fact that 70% of purchased licenses for edtech programs don’t get used at all within the school year and only 10% of teachers know how often students should use edtech programs to drive learning outcomes. Data Analytics.

Data 49
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T&L’S ISTE 2018 BEST OF SHOW AWARDS WINNERS

techlearning

The Early Insights suite utilizes advanced predictive analytics to identify, connect, and monitor students across multiple locally-validated risk indicators throughout the K-20 continuum. In addition, CatchOn helps district administrators mitigate student data privacy risks associated with unknown tool usage.

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Hero Awards finalists: 18 schools and educators dedicated to learning

eSchool News

Alvarez and her colleagues were at the forefront of developing unique educational experiences for their youngest learners and adopting evidence-based practices–by implementing My Math Academy and My Reading Academy–to ensure technology was positively impacting teacher engagement and driving student outcomes.

Education 117
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Education Technology and Data Insecurity

Hack Education

Significantly, ESSA mandates the collection and reporting of per pupil expenditure data at the school level. Teaching and learning are increasingly being measured and quantified to enable analysis of the relationship between inputs (e.g., funding) and outputs (e.g., funding) and outputs (e.g.,

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The 100 Worst Ed-Tech Debacles of the Decade

Hack Education

It works well, that is, if you disregard student data privacy and security. Derek Newton argued in The Atlantic that Staton’s (and by extension Carey’s) analysis misconstrued what most parents and students want from schools. Certainly “free” works well for cash-strapped schools. And “free” doesn’t last.

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