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What Does It Take To Successfully Implement Personalized Learning at Scale?

ED Surge

At its core, personalized learning is about recognizing that no two students learn exactly the same way. It moves beyond the one-size-fits-all approach by focusing on each student’s strengths, needs and learning pace. In April 2019, we began our journey to personalize learning.

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To Truly Measure Student Growth, Learning Experiences Must Be Personalized

ED Surge

Here, the former elementary classroom teacher and math teacher advisor shares her thoughts on personalizing learning for individuals’ needs—and her school’s preferred platform for doing just that. EdSurge: There is a lot of discussion right now about learning loss and learning gaps.

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How AI Can Address Critical Challenges Facing Higher Education

ED Surge

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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Education and Artificial Intelligence: Navigating the Path to Transformation

ED Surge

He identifies two significant facets, with the first revolving around using AI as a tool to enhance learning, emphasizing personalized education and support. The second dimension pertains to teaching young individuals how to harness AI for their future careers, leadership roles and learning opportunities.

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7 Reasons Advancement Courses Has Excellent Teacher Professional Development

Cool Cat Teacher

Recently, I took a course from Advancement Courses called Teaching Computer Science in 6-12. After completion, I believe that I received a world-class education about teaching Computer Science. In this process, I became better at teaching computer science and computational thinking. Data Analysis. My Final Project.

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How Students Use AI to Design Solutions for Their Community

ED Surge

After identifying a relevant problem, students collected data to train their AI models and analyzed the data using different tools like Excel, Google Sheets or other data analysis software. Once the students had a basic understanding of AI, they were asked to identify a problem that they wanted to solve using AI.

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How Data Drives Strategies for Improved Student Outcomes

ED Surge

Data-driven decisions are increasingly recognized as a critical component of K-12 education, enhancing personalized learning, improving assessment and feedback, optimizing resource allocation and fostering early intervention.