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5 Critical Guidelines for Student Data Privacy

edWeb.net

More important, though, every piece of technology must adhere to the district’s student data privacy policies. Rather than creating policies and compliance guidelines from scratch, start with what works and adapt it for your school. ClassLink Analytics gives decision makers the usage data they need.

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7 Essential Leadership Guidelines for Using Generative AI in Schools

edWeb.net

From concerns about cheating to students falling behind on essential skills, the initial reaction was extreme apprehension. In 2024, though, schools have started creating policies and guidelines for using generative AI with K-12 students. ClassLink empowers 19 million students and staff in over 2,500 school systems.

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Critical Guidelines for Ensuring Data Privacy in Districts

edWeb.net

During the edLeader Panel, “ Leadership Challenges and Solutions Regarding Data Privacy in Technology-Enriched Learning Environments ,” three district leaders discussed the five critical guidelines for ensuring data privacy in the use of technology in their districts.

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Five Critical Guidelines for Data Privacy Across School Districts

edWeb.net

When Congress passed FERPA (The Family Educational Rights and Privacy Act) in 1974, school and district leaders could rely on once-a-year training and reviews to make sure they remained in compliance. Now, when educators could potentially add a new app with a few mouse clicks, managing student data privacy is a never-ending task.

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K-12 Leaders on the Impact of Artificial Intelligence and Generative AI

edWeb.net

The group shared guidelines from the CoSN/AASA EmpowerED Superintendents Initiative, which were created to help school leaders implement policies to address AI/generative AI in schools. Privacy and Security Measures: Review your student data privacy policy and practices and how they relate when using AI tools.

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