Typically, historically, it didn’t matter really. Moore’s Law, general positive vibes from the prospect of computer tech in the future of the industry, and why scare undergrads seeking good salaries away from institutions taking donations from said corps? But things are pretty different now. AI is less of a thought experiment than before. What better lens to analyze AI than from labor in economics, i.e., Marxism?
The students joined the class to learn programming, and not to analyze AI? It’s like if I joined a pottery class and the teacher spent an hour talking about how pottery isn’t a high paying profession. I didn’t come for life advice or economic rambling, I came to learn pottery.
My bad for looking for nuance in a microblog meme, jesus. Education ain’t just the literal skills and nothing else, y’know. Teachers and classes are more than just human textbooks and tutorials.
Because people are using AI in programming now. It will only be utilized more as time goes on. Getting into the risks and reward are necessary to know what to do and what not to do. Or at the very least what to be wary of.
Introduction Courses are the Who, What, When, Why, Where, and How. Knowing what you’re getting into and what you will be dealing with are just as foundational.
AI is used in every field now. Programming courses can just do what every other course does: tell the student that nobody can stop them from using AI, but if you do be prepared to fail the test. Leveraging AI for work, and the ethics of doing so, is something that can be covered in a different class. But my intro programming course taught the basics of programming, not what industry programming was like. Just like my intro to chemistry course never taught what it was like to work in the chemical industry.
How many programmers DON’T use AI to some degree already? As the technology continues to improve adoption and usage will only increase. Actually hand coding stuff is soon to be a mostly lost craft.
But why would that be discussed in an intro to programming class?
Typically, historically, it didn’t matter really. Moore’s Law, general positive vibes from the prospect of computer tech in the future of the industry, and why scare undergrads seeking good salaries away from institutions taking donations from said corps? But things are pretty different now. AI is less of a thought experiment than before. What better lens to analyze AI than from labor in economics, i.e., Marxism?
The students joined the class to learn programming, and not to analyze AI? It’s like if I joined a pottery class and the teacher spent an hour talking about how pottery isn’t a high paying profession. I didn’t come for life advice or economic rambling, I came to learn pottery.
My bad for looking for nuance in a microblog meme, jesus. Education ain’t just the literal skills and nothing else, y’know. Teachers and classes are more than just human textbooks and tutorials.
Because people are using AI in programming now. It will only be utilized more as time goes on. Getting into the risks and reward are necessary to know what to do and what not to do. Or at the very least what to be wary of.
Introduction Courses are the Who, What, When, Why, Where, and How. Knowing what you’re getting into and what you will be dealing with are just as foundational.
AI is used in every field now. Programming courses can just do what every other course does: tell the student that nobody can stop them from using AI, but if you do be prepared to fail the test. Leveraging AI for work, and the ethics of doing so, is something that can be covered in a different class. But my intro programming course taught the basics of programming, not what industry programming was like. Just like my intro to chemistry course never taught what it was like to work in the chemical industry.
How many programmers DON’T use AI to some degree already? As the technology continues to improve adoption and usage will only increase. Actually hand coding stuff is soon to be a mostly lost craft.