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Designing For Deeper Learning: Identifying Challenges and Prototyping Solutions

Catlin Tucker

Through our online series, we explored the power of universally designed blended learning models to achieve deeper learning outcomes. Our discussions culminated in selecting specific challenges to explore in-depth, with the goal of prototyping solutions at the Learning Leaders Summit in Dubai.

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Heroes at Work: How San Diego USD made PD a pandemic priority

eSchool News

Keep reading this interview with Julie Garcia, the district’s Director of Instructional Technology, to discover how the district prioritized meaningful teacher PD and student engagement. They never have time to learn technology on their own. See below for the full interview. JG : I had this crazy idea.

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When the Variability of All Learners Is Addressed

Edsurge

Bringing together more than 100 organizations across the fields of disability advocacy, special education, civil rights and K-12 nonprofits, the Educating All Learners Alliance (EALA) is one such network formed to ensure equity and support for students with disabilities and learning differences across education environments. percent to 22.5

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Essential Considerations for Addressing the Possibility of AI-Driven Cheating, Part 2

Faculty Focus

It stands for: Transparency Real World Applications Universal Design for Learning Social Knowledge Construction Trial and Error Transparency refers to making the purpose and requirements for the assignment as clear as possible. Universal Design for Learning Guidelines version 2.2. link] Canales, A.

Failure 98
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Essential Considerations for Addressing the Possibility of AI-Driven Cheating, Part 2

Faculty Focus

It stands for: Transparency Real World Applications Universal Design for Learning Social Knowledge Construction Trial and Error Transparency refers to making the purpose and requirements for the assignment as clear as possible. Universal Design for Learning Guidelines version 2.2. link] Canales, A.

Failure 98
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Essential Considerations for Addressing the Possibility of AI-Driven Cheating, Part 1

Faculty Focus

AI can aid learning in several different ways, including serving as an “AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student” (Mollick & Mollick, 2023, p. Universal Design for Learning Guidelines version 2.2. 2023; Trust et al., Part 2 will be available on Friday, August 4th.

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Essential Considerations for Addressing the Possibility of AI-Driven Cheating, Part 1

Faculty Focus

AI can aid learning in several different ways, including serving as an “AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student” (Mollick & Mollick, 2023, p. Universal Design for Learning Guidelines version 2.2. 2023; Trust et al., Part 2 will be available on Friday, August 4th.