Accessibility Outcomes Social Media Student Data Privacy 
Lightspeed Systems
AUGUST 24, 2023
Student welfare, of course, is comprised of many elements, including teaching and learning, student mental health, student safety, and, importantly, student data privacy. Finally, Lightspeed Systems is a Student Data Privacy Consortium signatory, and has signed the Student Privacy Pledge.
Edsurge
JUNE 13, 2017
Chad Marlow, ACLU Counsel According to the Future of Privacy Forum (FPF), a Washington, D.C.-based based nonprofit, states have passed approximately 110 laws since 2013 concerning student data privacy. But what happens in these legislative halls are rarely visible to teachers, students and parents.
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edWeb.net
JUNE 13, 2019
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 Privacy.
techlearning
OCTOBER 25, 2018
We have staff, we have a computer-based monolingual English program that parents can log in and access. Achievements are touted on social media, changing the tone of the district’s story to engage the public positively. They trained volunteers to access Lexia’s reports and use the data to adjust direct instruction.
Doug Levin
SEPTEMBER 11, 2017
For over 40 years the Wyoming Department of Education (WDE) ran a program to support this vulnerable student population, but that has come to an end - in part because of student data privacy concerns. Tagged on: September 7, 2017 When can schools punish students for racist social media posts?
Doug Levin
SEPTEMBER 11, 2017
For over 40 years the Wyoming Department of Education (WDE) ran a program to support this vulnerable student population, but that has come to an end - in part because of student data privacy concerns. Tagged on: September 7, 2017 When can schools punish students for racist social media posts?
Edsurge
OCTOBER 25, 2021
Tools like Turnitin that check for plagiarism, intelligent tutoring softwares like Khan Academy or iReady that automate or personalize instruction, and chatbots like Alexa that answer student questions are all vulnerable to algorithmic biases in development and inequitable outcomes in implementation.
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