In an article on The impact of AI on computer educationThe general conclusion is that all jobs will have a generative AI component and that it will be necessary in most jobs to understand IT. The play opens with an experience led by a teacher with one of his computer lessons.
A group was authorized to use Chatgpt to solve the problem, the second group was invited to use the Llama Llama model of Meta Code Llama (LLM), and the third group could not use Google. The group that used Chatgpt, predictable, resolved the fastest problem, while the second group took more time to solve it. It took even more time using Google because they had to break down the component task.
Then the students were tested on how they solved the problem of memory, and the tables turned. The Chatgpt group “did not remember anything, and they all failed,” recalls Klopfer, professor and director of the training program for MIT Scheller and education.
Meanwhile, half of the Code Llama group passed the test. The group that used Google? Each student has passed.
In manual, not automatic, for creating meaning (2012) I said that I prefer the simpler tools that offer me to think and connect for myself. If it was automatic, I wouldn't think about it much, but that's what I want to do – think more, no less. By keeping the “manual” meaning creation activities, we are forced to do something.
Follow Manual sense creation (2025) I suggested that the creation of meaning is a manual skill, which can be helped with various tools, but the most important tool is our mind, using good practices. The creation of meaning is composed of both asking and saying. It is a continuous series of conversations. We know that conversation is the way to share uncommunicative knowledge. We must therefore continually seek ideas. We can then have conversations around these ideas to give them meaning. Sharing closes the circle, because the sharing of knowledge is part of each professional of the social apprenticeship contract. Without creating effective meaning at the individual level, social learning at community and organizational levels is only a simple amplification of noise.
Conversation, not fast engineering, is the way people learn from each other. In The Age of the craftsmanWork can include self-selected generative tools, but there is still cooperative learning, knowledge sharing and collaborative work to do between people to perform complex tasks.
At Learnopoly, Finn has championed a mission to deliver unbiased, in-depth reviews of online courses that empower learners to make well-informed decisions. With over a decade of experience in financial services, he has honed his expertise in strategic partnerships and business development, cultivating both a sharp analytical perspective and a collaborative spirit. A lifelong learner, Finn’s commitment to creating a trusted guide for online education was ignited by a frustrating encounter with biased course reviews.
