The "Joe Bloggs" theory has known this for ages.
A good test should also include reasoning skills and comprehension.
Having reasoning skills means not all necessary information can be derived from the test itself, the necessary information isn't always well defined, yet a correct answer is produced.
Demonstrating comprehension requires the test taker to write out a model of what they think they know in their own words. Undoubtedly the answer will be at least slightly wrong which is why subjective expertise is required to evaluate the level of comprehension.
To me it seems the quality of the tests has deteriorated due to cost cutting, not because AI has become so much more sophisticated.
Subjectivity is usually dismissed these days as a roll of the dice, but it's vital to fitting the real world full of humans living in it. Humans must be the gatekeepers, not to fight off AI, but by the very definition of what it means to be convincing.
Answers to real world questions solve many more constraints than just the concrete subject matter. The whole point to updating a test on a well understood topic should not merely be to prevent "replay attack" cheating, but to conform to the new subjectivity on the topic.
It makes sense to teach 3rd graders 2+2, but if college board is creating "college level courses" with problems that can be easily solved through whats still a fairly new technology, we need to reevaluate what we're teaching in schools.
So many AP courses are just memorization and identifying formulas. I'd bet the majority of AP CSA students wouldn't fare very well when tasked with detailing how they'd approach a project, whereas kids in IB schools etc. would find it straightforward.
It's great for getting a blueprint to start from. I recently had to write a gtk+rust client, and I asked chatGPT to give me some starter code which largely worked.
All the chatGPT hype feels the same to me as the copilot hype from a while back. The people who got the most excited about it are the same people who its going to replace.
The end goal is to internalize the subject so that you can extrapolate your own insights.
"This happened in WWII so if these conditions starts to appear it risks to happen again". Just to take history as an example. All other subjects have similar examples.
And to reach that kind of insight you need to start filling the brain with information. That may be called memorization. The memorization is just one path of the road towards the black belt. If you skip it you will be lost.
(i am not native English speaking so i don't know what addication means, I couldn't quite understand that sentence)
Now it would be wonderful if we could just motivate students to understand and learn the material, without putting so much pressure by testing them all the time.
There is a reason why history repeats. This kind of learning never happens in human society.
We currently have similar warning signs to WWII, but nobody cares. We are currently at the stage where if you express an opinion that does not agree with the approved narrative, you get downvoted/cancelled. But nobody cares.
The part that ap fails to deliver on is the written portion, where it asks you to extrapolate your own insights. If chatgpt can solve the problem that should require human insight, is the prompt really testing students properly?
History is a particular bad case to drive such example since there are thousands of factors that are always different and we have very poor data beyond a few centuries so theres that. With History you are much more likely to end up with confirmation bias than actual understanding.
I don't get it. AP calculus is problems that can be easily solved with what is now very old technology. The point of an AP test isn't that the problems are so difficult.
Thats the issue. The point of an AP test shouldn't be that the problems are difficult. But currently thats what it's all about. They're just trying to test that kids are capable of surviving a "rigorous academic curriculum".