Explore the potential of running Large Language Models (LLMs) locally on your own device. From enhanced privacy and offline capabilities to reduced dependency on big tech, discover how local AI could transform education. This hands-on exploration compares local LLM performance with cloud-based solutions like Claude AI, examining both technical requirements and practical applications for teachers.
With the upgraded Claude 3.5 Sonnet, we’re introducing a new capability in beta: computer use. Developers can now direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking, and typing text.
While groundbreaking, computer use is still experimental—at times cumbersome and error-prone. We're releasing computer use early for feedback from developers.
In this demo, Claude creates a themed website—generating code, launching a server, and fixing its own mistakes.
Claude is generating all the computer actions shown here.
This demonstration was recorded in a controlled environment, with some supporting infrastructure simplified to highlight the core capabilities.
"AI processes vast information, generates new content, and helps decision-making through predictive analyses. In education, AI has transformed the traditional teacher–student relationship into a teacher–AI–student dynamic. This shift requires a re-examination of teachers’ roles and the competencies they need in the AI era. Yet, few countries have defined these competencies or developed national programmes to train teachers in AI, leaving many educators without proper guidance. The AI competency framework for teachers addresses this gap by defining the knowledge, skills, and values teachers must master in the age of AI"
"Developed with principles of protecting teachers’ rights, enhancing human agency, and promoting sustainability, the publication outlines 15 competencies across five dimensions: Human-centred mindset, Ethics of AI, AI foundations and applications, AI pedagogy, and AI for professional learning. These competencies are categorized into three progression levels: Acquire, Deepen, and Create."
Synthetic reality is transforming how we create media and train our workforce, paving the way for innovation. But don’t forget to use it responsibility.
"One of the new features is a list of the top 50 most common words and phrases preferentially used by artificial intelligence, compared to humans. Topping the list is “objective study aimed,” an ordinary phrase the company estimated is 269 times more likely to be used by AI than by humans."
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Discover the best AI tools for teachers and educators. Make your life easier with a diverse set of time-saving AI tools, including free options, for various teaching needs.
It is time to rethink higher education’s role – not only for the next decade but for generations to come. The promise of higher education is no
Via LGA
The increasing integration of AI tools into existing platforms raises new challenges, Zach Justus and Nik Janos write. For the past two years, a lot of us have written course, program and university policies about generative artificial intelligence. Maybe you prohibited AI in your first-year composition course. Or perhaps your computer science program has a friendly disposition. And your campus information security and academic integrity offices might have their own guidelines. Our argument is that the integration of AI technology into existing platforms has rendered these frameworks obsolete.
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"This study provides evidence that the incorporation of immersive VR instruction may create a space for visual- and gestural-focused meaning-making, which contributes to both [multilingual learners] and [English monolingual learners’] development of disciplinary literacy in science"
By Hossam Elsherbiny, PhD., Associate Director of The Center for Languages & Intercultural Communication, Rice University, and Dean Toumajian, Rice University . DOI: https://www.doi.org/10.69732/PWER3384 From the fictional artificial intelligence computer HAL 9000’s menacing evolution in “2001: A Space Odyssey” to
Working Paper 1: Overview of the Issues, Statement of Principles, and Recommendations Working Paper 2: Generative AI and Policy Development: Guidance from the MLA-CCCC Task Force Working Paper 3: Building a Culture for Generative AI Literacy in College Language, Literature, and Writing MLA 2024 Este...
"By shifting assignment structures and encouraging personal engagement with the material, educators can build trust with students, allowing AI to serve as a supportive sidekick rather than a source of suspicion in the learning process."
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Interesting article here from the AI Language Teacher on running an LLM on your laptop - Some very compelling arguments for it.