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Three EdTech Insights To Follow During Quarantine

One advantage to quarantine is some extra time for deep reading. Each successive day there are new ideas and trends being posted on the reinvention of edtech. Rebecca Heilweil reports on issues surrounding remote learning and cheating for Vox: Still, these students’ experiences are another sign that, amid the pandemic, the hurried move to re-create…

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Three EdTech Insights To Follow During Quarantine

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One advantage to quarantine is some extra time for deep reading. Each successive day there are new ideas and trends being posted on the reinvention of edtech.

  1. Rebecca Heilweil reports on issues surrounding remote learning and cheating for Vox:

Still, these students’ experiences are another sign that, amid the pandemic, the hurried move to re-create in-person classes online has been far from smooth, especially when it comes to testing. As professors have tried to balance a desire to keep students learning, some institutions have gone to great lengths to catch students cheating during the quick adjustment to remote instruction.

Many of these tactics are short-term solutions, but they demonstrate that the bumpy move to online education — a transition that started long before the pandemic hit — requires increased digital surveillance of students to replicate old testing norms. That, or schools will have to come up with different ways to measure learning.

2. Chris Dede, the Timothy E. Wirth Professor in Learning Technologies at Harvard Graduate School of Education, posted some positive steps for k-12 districts:

To compensate for inequities in access to digital devices and the Internet, many teachers are using multiple methods to deliver lessons. For students without Internet access (an estimated 7 million families nationwide), some districts are lending families educational devices from classrooms and using school buses as mobile hotspots to support home-based instruction. Others are using the borrowed devices with the offline versions of their application software. In some cases, teachers are mailing instructional materials or using school buses to deliver schoolwork to students and placing physical drop boxes at community locations for handing in homework. Elsewhere, teachers and districts are utilizing public television educational programming as a basis for curriculum, or creating their own public-access televised instruction.

3. Clara Galan, Global Community Manager on the Adobe Education K-12 and Higher Education team looks further into the digital equity theme and lists industry programs such as the Sprint 1 Million Foundation Grant and the T-Mobile EmpowerED Grant.

What about those students who couldn’t access the video call and didn’t show up? Did they understand the new content? Is everything ok at home? Did they even eat breakfast? Questions like these haunt us, as we know that students who don’t have access and a supportive home environment aren’t being reached at all.

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Schools are still catching up after Google opened Gemini to every student

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Google has made its Gemini chatbot available to all students, and Education Week reports schools were caught flat-footed, with open questions about age-appropriate use. Districts now have to decide which Gemini path they run and who supervises first use. The consequence lands on district technology directors and classroom teachers this fall.

  • 01Gemini reaches a school two ways: the free app (data protection for users 13 and older) and Gemini for Google Workspace inside Gmail, Docs and Slides, with Gemini Advanced for users over 18. A district policy has to cover both.
  • 02Guided Learning, the step-by-step mode inside Gemini, is the feature that bears most directly on the cheating-versus-learning question, and Fast Company noted it is similar to the Study mode OpenAI had announced in ChatGPT the week before.
  • 03The sharper question for a district tech lead is no longer whether students can reach a chatbot; it is which mode they land in and who is standing behind them the first time.

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OpenAI has unveiled GPT-6 Astra and says it is the first model to reach the "Critical" cybersecurity tier of its Preparedness Framework, Campus Technology reported Sept. 10. The label is the vendor's own. Campus and district IT leaders now weigh it alongside Microsoft's legally enforceable AI data protections, open to all districts Nov. 1.

  • 01A frontier vendor is now publishing its own capability tier alongside a broadly deployed release, which gives procurement a sharper question to ask every AI supplier: which tier, and what mitigations come with it.
  • 02Microsoft's legally enforceable student and teacher data protections open to every U.S. district on Nov. 1, a concrete reference point for anyone negotiating AI contract terms with other vendors this fall.
  • 03OpenAI's Navier-Stokes claim and Anthropic's formal-proof work are, as reported, vendor claims; independent verification is the signal that would turn either into a result.

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Morgan State won Maryland's first public AI degree in months by building it first

Morgan State won Maryland's first public AI degree in months by building it first

Morgan State University launched Maryland's first public AI bachelor's degree by converting an existing cloud computing program into a full AI curriculum, completing the regulatory approval in months rather than years. The program prioritizes foundational computer science alongside AI-specific coursework and hands-on reinforcement learning projects, positioning graduates to design and extend AI models rather than simply use them.

  • 01Morgan State built 18 AI courses and embedded 8 completed projects into the curriculum before formally proposing the degree, enabling regulatory approval in days once evidence of the running program was presented.
  • 02Every student learns classical programming and data structures first, then progresses through problem-based courses scaled by difficulty level, culminating in a capstone with no lectures where the instructor acts as support.
  • 03The program emphasizes reasoning grounded in reinforcement learning and the Markov decision process rather than statistical analysis alone, preparing students to extend AI models and control technology instead of being directed by it.

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