Teaching a new generation of software professionals

IT professionals composing the current workforce were mostly educated in a Prussian classroom model, that aimed to produce manufacturing workers that follow commands, not think creatively. Over the last few decades we see a lot of movements trying to change that. Unfortunately for us, we’re making education a lot harder with advancement of technology and that technology invading schools and universities. In the age of AI education is suffering and at the same time it is more and more important that we educate better.

This episode we’ll tackle the topic of how to educate young IT professionals in a world that is moving faster than we can comprehend. We have access to near-infinite knowledge through the Internet and AI chatbot. We also struggle with misinformation, hallucinations and lack of comprehension! The key question is: what good is all that information if we are incapable of using it in context?

IT professionals composing the current workforce were mostly educated in a Prussian classroom model, that aimed to produce manufacturing workers that follow commands, not think creatively. Over the last few decades we see a lot of movements trying to change that. Unfortunately for us, we’re making education a lot harder with advancement of technology and that technology invading schools and universities. In the age of AI education is suffering and at the same time it is more and more important that we educate better.

This episode we’ll tackle the topic of how to educate young IT professionals in a world that is moving faster than we can comprehend. We have access to near-infinite knowledge through the Internet and AI chatbot. We also struggle with misinformation, hallucinations and lack of comprehension! The key question is: what good is all that information if we are incapable of using it in context?

Let’s tackle the problem of education! This stream our guest will be Chelsea Troy, Machine Learning Operations Engineer at Mozilla, who is also an adjunct associate professor of University of Chicago. Chelsea is teaching machine learning, data analysis and programming and has a first hand view on the future of our IT workforce.

Join us in the discussion and learn how can we change the approach to professional learning to fit the current age.