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Powerful Learning With Artificial Intelligence For Educators

Edsurge

The Need for AI Literacy in Education The rapidly evolving space of artificial intelligence (AI) requires school and district leaders to make sense of how emerging technology applications, including those that use generative AI (Gen AI), are being integrated into schools and districts across the United States. Read The U.S.

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Empowering girls with STEM education to build tomorrow’s tech industry

eSchool News

Today, math scores are at pre-pandemic lows (thanks in part to years of remote learning) and elementary-aged children are falling behind grade-level standards, posing significant risks to children’s educational development.

STEM 347
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Harnessing generative AI to revolutionize educator growth

eSchool News

As educators navigate the demands of an AI-rich teaching environment, they require innovative tools to adapt their instructional practices while maintaining a focus on equity, efficiency, and continuous growth. Professional development will be even more important as the rate of change accelerates due to more powerful emerging tools.

Education 321
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How AI Can Address Critical Challenges Facing Higher Education

Edsurge

Artificial intelligence is increasingly being integrated into higher education to address challenges such as personalized learning and operational efficiency. However, the integration of AI into higher education also raises concerns about its ethical use , including data privacy, security and the potential for bias in algorithms.

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AI and Writing Essays: Pros and Cons, How Will Students Learn to Write if an AI Writes It for Them?

Ask a Tech Teacher

Educational institutions must have AI policies for scholarly writing to teach students the value of academic integrity. Students learn about the ethics of employing AI technologies, including credit and the value of original ideas in scholarly work. Jacqui Murray has been teaching K-18 technology for 30 years.

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4 Key Questions About the Advancement Landscape, Answered

EAB

Looking to the future, annual giving will emphasize personalized engagement, with data analytics and Artificial Intelligence (AI) tailoring communications to individual donor preferences. Hybrid fundraising, ethical data use, and strong collaboration with alumni networks will also be key in this evolving landscape.