Lorena Barba @[email protected]
@LorenaABarba
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Engineering professor, computational scientist, jazz buff, techie, academic writer & font geek. Editor: @cisemag @OpenEngr @ReScienceEds @JOSE_TheOJ
Washington, DC, USA
Joined September 2011
The Handbook for Teaching and Learning with #Jupyterโfirst draft is out! #Jupyter4Edu
jupyter4edu.github.io
A handbook on teaching and learning with Jupyter notebooks.
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To students everywhere: How can you learn and flourish with AI? I joined fellow educators to write this letter on using AI wisely. Our advice: Embrace the "productive struggle." True learning comes from effort, not ease. Read more: https://t.co/VNesTNeGdD
#AIinEducation
jonbergmann.com
Your teachers share how effort, wisdom, and critical thinking help students thrive with AIโessential advice for success in a tech-driven world.
๐ New Letter for the AI Age! ๐ After 2 inspiring days with university professors at @SloanFoundation , weโve launched a practical open letter for students and educators โ co-signed by @jonbergmann, @LorenaABarba, @RobertTalbert, @drchuck, and @ryanwatkins , and others. Want to
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I was reminded today of the suspect yet ubiquitous Bloom's Taxonomy, which often is used to rank "remembering" as somehow an inferior form of knowing, compared to, say, "applying." For the people in the back: you can't know what you can't remember! My fav takedown of Bloom here:
I've always been suspicious about the rainbow-pyramid called "Bloom's Taxonomy" (it gets pushed down our throats!)โso I was glad to hear @DonaldClark's analysis and definitive take-down in The Learning Hack Podcast with @johnhelmer
https://t.co/2TukBsTc2N
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Vygotsky's 'Zone of Proximal Development' is perhaps the most misunderstood idea in education. It was never a teaching method but a metaphor for how teaching can pull thinking upward, from the everyday to the scientific. โฌ๏ธ ๐งต
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๐ฅ Check out this short video demoโand I'm curious to hear your thoughts: "Comet Assistant in Jupyter: First Impression of the Agentic Browser" https://t.co/aV9KAzZmHR
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The serious conversations about pedagogical approaches that harness AI productively rather than making human learning obsolete ๐ข๐ณ๐ฆ ๐ฏ๐ฐ๐ต ๐บ๐ฆ๐ต ๐ฉ๐ข๐ฑ๐ฑ๐ฆ๐ฏ๐ช๐ฏ๐จ! How are other educators navigating this?
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We're facing a ๐๐ถ๐ฐ๐ธ๐ฒ๐ฑ ๐ฐ๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ: motivating genuine learning when the tools have become this capable. Assignments should help critical thinking rather than just testing procedural knowledge. But the pace and the scale of the changes required are ๐ฎ๐ฐ๐ฏ๐ด๐ต๐ณ๐ฐ๐ถ๐ด.
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What I witnessed: โ The AI assistant analyzed the entire Jupyter notebook โ Executed code cells autonomously โ Wrote proper NumPy functions โ Solved exercises completely โ Even explained its reasoning All faster than students could read the problem statement.
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๐๐ผ๐บ๐ฒ๐ ๐ฟ๐๐ป๐ ๐ฐ๐ถ๐ฟ๐ฐ๐น๐ฒ๐ ๐ฎ๐ฟ๐ผ๐๐ป๐ฑ ๐๐๐ฝ๐๐๐ฒ๐ฟ Friends, I watched an AI agent complete my students' coding exercises in real-time, and I'm shook ๐คฏ I tested @perplexity_ai's Comet browser on a Jupyter notebook with eigenvalue problems I assigned to my classโฆ
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This raises a critical question: Are certain genres of scholarly workโespecially simple literature reviews or trend summariesโno longer valuable as original scholarship? It's time for academia to rethink what we consider "original." What do you think? #PeerReview
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The paper's abstract promised a "review of key trends" in AI for engineering education. My reasoning for rejection: anyone can generate this with a single, well-crafted prompt. I tested it in Gemini 2.5 Pro, and the result was stunningly good and likely similar to the manuscript.
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I just rejected a paper because it was pointless in the age of AI. For the first time, I recommended a manuscript be rejected because its content was so easily replicable by an AI model with deep research capabilities. #AcademicPublishing #AIinResearch
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Bonus: In support of my statement in highlight 1), above, you need to see this video by Prof. Giordano Scarciotti of Imperial College London (posted May 10, 2025):
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7) Beware wearables: Smart glasses can photograph exam questions and get live AI answers. Your syllabus needs wearables policies NOW. Bottom line: Students will use AI anyway. Let's redesign courses to help them thrive with it. Full piece: https://t.co/I5bBZJsbgv 8/8
figshare.com
This is an incomplete list of major developments and items to consider about the state of generative artificial intelligence, as we approach the Fall 2025 semester. My goal is simply to bring to your...
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6) The AI polarity: It can amplify learning OR create cognitive laziness. The difference is in how we design assignments and teach usage. How might you design for active AI use and promote user patterns that result in positive outcomes? 7/8
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5) AI isn't just chat anymore. It's autonomous agents doing research, filling forms, completing coursework. One prompt = entire literature review. Will you change expectations of what students do in your class? 6/8
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4) Entry-level jobs were down 15% in 2024, and unemployment for new grads hit 4-year high this year. Meanwhile, companies now require AI use in their teams, and are conducting AI-enabled job interviews. Are we preparing students for this? 5/8
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3) Students perceive that they know AI better than faculty (they're probably right). This gap is creating stress and missed opportunities for everyone. What are you going to do about this? 4/8
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2) ChatGPT now has "Study Mode" and Gemini has "Guided Learning"โboth promise Socratic tutoring versus immediate answers. But will students choose the hard path when instant answers are a click away? (They can turn Study mode on/off!) ๐ค 3/8
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1) Google just gave all US college students free access to Gemini Pro. They just need an .edu email for verification. This means validity of your take-home assignments is cooked: Gemini can do complex work for students and they don't need to thinkโฆ 2/8
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๐งต Fall 2025 faculty: I wrote 7 pages on what you need to know about AI before classes start in a week or twoโit's posted as PDF in the @Figshare service under CC-BY: link belowโฆ Here are the highlights: 1/8
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