Geoff Novak

A more thoughtful (of course) addendum to my admittedly snide joke on here yesterday about the accreditation process. But if AI can help clear away the dumb part of accreditation review to improve focus on the good part, it will be a boon.

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New blog: A concise review of Canvas LMS — exploring its background, advantages, limitations, and a practitioner’s critique. Useful for instructional designers, academic leaders, and edtech evaluators. Read the full article: https://wix.to/tODG1HB #Canvas #LearningManagementSystem #EdTech #HigherEd #InstructionalDesign

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🤖 AI and the Future of Learning. Ben Gomes, Christopher Phillips, James Manyika, Lila Ibrahim, Yossi Matias, Chief Technologist Learning & Sustainability VP & GM Education SVP Research, Labs, Technology & Society Chief Operating Officer Google Google DeepMind VP & GM Goo. 📄 ABSTRACT 📄 AI opens up new possibilities for people to learn, access education, and follow their curiosity. It can also help address critical challenges, including concerning trends in learning outcomes, immense pressure on educators, and a lack of access to quality education in many communities. ➕ Google believes that by supporting teachers and personalizing learning, AI can help unlock human potential all around the world. While human relationships will always remain central to teaching and learning, we see tremendous opportunity for AI to support Google’s mission to make the world’s information universally accessible and useful. At the same time, AI presents urgent challenges and unknowns that society must collectively reckon with. Our goal is to help improve learning outcomes by developing AI products that are grounded in core learning science and in close partnership with the education community — because the greatest potential of AI is helping everyone reach theirs. AI opens up new possibilities for people to learn, access education, and follow their curiosity. It can also help address critical challenges, including concerning trends in learning outcomes, immense pressure on educators, and a lack of access to quality education in many communities. ➕ Learning Matters Learning is the bedrock of human potential and societal progress. It equips us with new skills, sparks curiosity and the exchange of fresh ideas, spurs innovative breakthroughs, and drives economic growth. New technologies have always been a force to expand society’s knowledge, as well as accelerate, challenge, and ultimately reshape how we learn and what we know. From the invention of the printing press to the vast expanse of the internet, advances in technology have helped to democratize access to information and opportunity, pushing the boundaries of human potential. Learning, while lifelong, is especially rapid in early childhood — both within and outside of formal education settings. Curiosity and the desire to learn are human nature, and today, learning opportunities are accessible to more people than ever before. #aprendizaje #learning #IA #AI #InteligenciaArtificial #ArtificialIntelligence #profesorado #teachers #EDtech #Education

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Recent discussions across education policy and assessment circles make one thing clear: traditional standardized tests were built for a different era and are struggling to keep pace with the realities of AI-augmented learning and work. Across the U.S., testing is being redesigned, not simply discarded — and for good reason. We should redefine what we measure and how. AI isn’t a hype buzzword anymore — it’s reshaping how students learn, how work gets done, and ultimately, what skills matter. Generative models now produce essays, solve quantitative problems and generate insights that were once seen as uniquely human. That disruption calls into question the very validity of measuring intelligence solely through static, score-based instruments. Here’s the core of what I believe: 1️⃣ Standardized tests and AI are both statistical systems — but neither truly captures human intelligence. Test scores quantify outcomes; they do not measure the deeper capacities that humans evolved for — creativity, adaptability, moral reasoning and learning in uncertainty. AI challenges us to confront the limits of statistical proxies as a stand-in for real human capability. 2️⃣ The AI revolution will redefine knowledge work. New jobs will emerge, and old ones will shift or disappear. In that context, our assessment systems must evolve beyond memorization and rigid benchmarking toward dynamic evaluation of problem-solving, judgment and human-machine collaboration. 3️⃣ Innovation theater makes prediction harder — but change inevitable. We humans are notoriously bad at forecasting technology’s impact: we overestimate long-term change and underestimate short-term disruption. The swirl of AI hype underscores a broader need for thoughtful, evidence-based reform — not reactive tinkering. It’s time for action. We need assessment systems that emphasize continuous evidence of learning over one-off performance snapshots, integrate AI as a partner not a cheat — defining what skillful use looks like, and privilege authentic problem solving over pattern recognition. The SAT and other standardized tests were once transformative. In the age of AI, they should not be relics — they must be reimagined to measure meaningful human potential. #ai #standardizedtesting #futureofwork #futureofsociety #futureofhumanity https://lnkd.in/egFR7kmW

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Visibility and timing matter more than anything in today’s job hunt. I was reading research from BU professor Andrey Fradkin that showed something simple but powerful: people are far more likely to apply to a job when it’s just been posted, and even more likely if they see only a handful of other applicants. It got me thinking—if visibility drives behavior this much, what happens when the balance shifts? Could we end up in a world where it’s not just employers paying to advertise jobs, but candidates paying to make their applications more visible? We’ve already seen experiments with “featured applicant” badges and premium tools. But does this really create efficiency in the hiring market—or just add cost and introduce new inequities for job seekers? Curious what others are seeing and thinking on this. https://lnkd.in/eGakUBds

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