
Lawyer, Learner, Lead Programmer of @UCBerkeley Snap! Researcher @SAP
Nebringen, Germany
Joined November 2008
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Snap! is designed to support functional programming, higher order functions and custom control structures snap.berkeley.edu – at Baden-Württemberg, Germany
Jens Mönig retweeted
Required reading for every intro to programming teacher, for CS or non-CS majors. cacm.acm.org/opinion/teachin…
Did you know that @SnapCloud's IDE is also its debugger? You can pause, set breakpoints, trace, inspect and step through programs, either manually or at your chosen execution speed.
example “Bauhaus” puzzle: snap.berkeley.edu/snap/snap.… – at Gäufelden, Deutschland
Today’s @SnapCloud release supports composing pictures programmatically, a new way to introduce and explore Higher Order Functions.
snap.berkeley.edu/snap/snap.… – at Gäufelden, Deutschland
Liebe snap.schule - Gemeinde, Ihr habt euch gewünscht, dass jedes Puzzle seine Anleitung immer anzeigt, nicht nur beim ersten Mal. Daran haben wir fieberhaft programmiert, und jetzt ist es so. Vielen Dank und viel Spaß damit in der Schule!
snap.schule/editor/108 – at Gäufelden, Deutschland
Jens Mönig retweeted
Computer scientist Margaret Hamilton passed away at 90 on Sep. 30th. Considered an icon at MIT, she designed the flight software for the Apollo missions to the moon.
More on her groundbreaking work: bit.ly/4zegcS8
Video v/MAKERS
Jens Mönig retweeted
We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-h…
Jens Mönig retweeted
Ms Hamilton coined the term “software engineering”.
news.mit.edu/2026/margaret-h…
Jetzt neu bei snap.schule : Alles, was ihr für den IuM Unterricht in Baden-Württemberg für die 5.-7. Klasse braucht. Zum Programmieren und für die Medienbildung. Datenschutzkonform, frei, offen, kostenlos. – at Walldorf, Deutschland
Jens Mönig retweeted
MIT published a brutally honest report on what AI is doing to students.
A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet.
Study groups are disappearing. Office hours are emptying out. Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum. Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle.
The numbers are rough. 46 percent of surveyed MIT undergrads use LLMs daily. 90 percent worry about their own overreliance. Undergrads who feel AI makes them replaceable now outnumber those who feel it makes them capable.
The committee's answer surprised me. They refused to fight AI with surveillance. The report calls AI detectors unreliable, says lockdown browsers feel like spying, and warns that policing students builds a classroom atmosphere of mutual distrust.
Instead, MIT wants to rebuild education around the things AI can't replace. That means oral exams, semester portfolios, in-person project work, and a required social component in every subject. The report even floats the idea of rethinking grades entirely, since without a GPA to optimize, much of the incentive to cheat with AI evaporates.
The committee warns professors against replacing undergrad research assistants with AI agents just because they're cheaper, because a university exists to grow people, not output.
The most famous tech school on earth admitted the machines broke its way of teaching. Its answer is more humans, not more software.
Traut sich irgendwer, nach dem neuerlichen PISA-Absturz die offensichtliche Frage nach einer Evidenzkrise der Didaktik zu stellen? Inwiefern verhelfen quantitative Methoden aus “Hirnforschung” und kognitiver Psychologie wirklich zu gutem Unterricht? – at Gäufelden, Deutschland
new @SnapCloud puzzles for 6th & 7th grade!
We've been developing interactive programming puzzles to introduce CS concepts - command, sequence, loop, expression, conditional, encoding, decoding - to 6th and 7th graders in Germany. Here they are in English:
forum.snap.berkeley.edu/t/pu… – at Gäufelden, Deutschland
Jens Mönig retweeted
On this day in 1927, #ACMTuringAward recipient John McCarthy was born. He received the award in 1971 for his work in the area of Artificial Intelligence.
John McCarthy played a foundational role in shaping modern computing by coining and popularizing the term "artificial intelligence" at the landmark 1956 Dartmouth conference. At MIT in 1958, he created LISP (LISt Processor), a programming language that became a primary tool for AI research, while also pioneering the concept of general-purpose time-sharing systems that laid the essential groundwork for ARPAnet and the modern internet. buff.ly/T9L5iqp
We've just released @SnapCloud v12.1 featuring new blocks for recognizing Body Language, Bauhaus-style shape compositions, first-class Processes and international translation updates.
release notes: github.com/jmoenig/Snap/rele…
Snap!: snap.berkeley.edu/run – at Gäufelden, Deutschland
Jens Mönig retweeted
Over 70 years ago today, the term “artificial intelligence” was coined in a conference proposal: stanford.io/2WJJJGN
Jens Mönig retweeted
Happy 90th birthday to Margaret Hamilton, an MIT computer scientist who helped design the flight software for the Apollo missions in the 1960s.
Image v/MIT Museum
I’ve been quiet lately since I’ve been busy using Claude Code to port ToonTalk’s 210,000 lines of C++ that I began writing in 1992 to the web. After extensive testing and my 525 messages to Claude we finally succeeded. docs.google.com/document/d/1…
Jens Mönig retweeted
Today, let’s remember Turing Award recipient Marvin Minsky, born #OTD in 1927. He received the award in 1969 for his central role in creating, shaping, promoting, and advancing the field of Artificial Intelligence.
At the time, AI was still a young and ambitious discipline. Minsky helped shape it through pioneering work that connected computing with the study of intelligence. In 1951, he developed SNARC, one of the first neural network simulators, which used a network of electronic components to model how neurons might learn and make decisions. His later research helped advance AI, neural networks, knowledge representation, cognitive psychology, and robotics, including his influential work on "frames," a method for representing knowledge and expectations.
For more:
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