Assessment Case Study E-rate 
EdTech Magazine
JUNE 14, 2018
Using that information, administrators chose to integrate DreamBox , a software solution designed to help math teachers teach and assess students. After one year, students who participated in the program scored on average 97 percent higher on the STAR assessment than those who did not, according to a case study.
Education Superhighway
AUGUST 15, 2017
Prince William’s Director of Information Technology Services, AJ Phillips, used Compare & Connect K-12 to see the kinds of broadband services that other large Virginia districts procured and to assess how their bandwidth pricing compared to that of other mega-districts.
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Edsurge
NOVEMBER 30, 2020
Connected Nation bases the analysis in its “Connect K-12 2020 Executive Summary” on FCC E-Rate application data for the 2020 federal fiscal year. Think lots of nuts-and-bolts, this-should-go-into-a-checklist details punctuated with brief case studies.
Education Superhighway
AUGUST 15, 2017
Prince William’s Director of Information Technology Services, AJ Phillips, used Compare & Connect K-12 to see the kinds of broadband services that other large Virginia districts procured and to assess how their bandwidth pricing compared to that of other mega-districts.
The Hechinger Report
MAY 20, 2020
Edgenuity boasts that the first case study in its long list of “success stories” shows how 10th grade students using its program “demonstrated more than an eightfold increase in pass rates on state math tests.”. But many people making the decisions are not trained in statistics or rigorous study design.
Doug Levin
APRIL 21, 2016
Finally, somewhat for the sake of brevity, I have excluded consideration of the role of the E-rate (which is overseen by the Federal Communications Commission and not the U.S. 2012 and 2012 (ARRA case studies). 2012 and 2012 (ARRA case studies). ” How would the program operate?
IAD Learning
FEBRUARY 9, 2018
Depending on how far we want to take our data collection, we could potentially collect library records, e-book consumption patterns, social network information, etc. Case studies show: the validity of predictive models applied to learning analytics, interventions with at-risk students are effective, and. Does it work?
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