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How Should We Approach the Ethical Considerations of AI in K-12 Education?

Edsurge

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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How to ensure edtech ROI? Ask these 4 questions

eSchool News

Maybe some of these challenges sound familiar, whether you’re a district, a school, a curriculum leader or an instructional coach, a digital learning specialist, or a librarian. Educators frequently seek administrator guidance for what they expect to see in the classroom or in use by students.

EdTech 128
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How Districts Can Unlock Actionable Data

edWeb.net

With up-to-the-minute data analysis, districts can make informed decisions about critical components of edtech integration, including digital curricula, professional development, investment, and student data privacy. Join the Community.

Data 51
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What’s Missing From Your School’s AI Adoption Plan? A Roadmap for School Leaders

Educate AI Magazine

improving literacy, closing achievement gaps, fostering critical thinking, promoting student engagement) What specific challenges are you facing that AI might help address? Using AI to personalize learning and differentiate instruction. Protecting student data privacy.

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

edWeb.net

Privacy and Security Measures: Review your student data privacy policy and practices and how they relate when using AI tools. Awareness: Learning Together through Open Communication Generative AI has been moving at such a breakneck pace that no one has all the answers right now. David Miyashiro, Ed.D.,

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