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Instruction needs to shift to accommodate AI rather than preventing it from being used to complete assignments and tests. Assignments and tests were always los
by tonymet 4mo ago
Instruction needs to shift to accommodate AI rather than preventing it from being used to complete assignments and tests.
Assignments and tests were always lossy, and over time more cheating crept in.
Instruction should shift to benchmarking productive output, strategic thinking and group collaboration. Similar to labs where you are tested on completing an experiment or a project with artifacts. Or an MBA program with quarterly group objectives. A major part of the group effort is dealing with collaboration and overcoming obstacles like laggards.
Hopefully people will realize how poor testing is for preparing students for the real world. the ultimate goal is preparing the students for a productive life, most commonly in commercial enterprise, but even academic pursuits require collaboration, productivity and other characteristics that were not well assessed by traditional testing and homework.
- BDPW 4mo agoWhat would you do instead to make sure the student actually possesses the skills they are intended to have learned by the end of a program?
- saghm 4mo agoI'm not sure it's possible to force someone to learn who doesn't want to. From what I can tell, the article is basically saying that giving the students some form of agency and trust is a better way to motivate them to take it seriously than being a strict top-down disciplinarian. This fits with my experience (both from when I was a student and in my interactions with younger people as an adult), and I would expect that most people who have seriously evaluated this strategy would come to the same conclusion. It's not perfect, as some students may try to take advantage of things or will still phone it in, but the same thing happens with every other way of trying to engage with them.
- BDPW 4mo agoMy experience has been the complete opposite, a bit of pressure goes a long way. There are many people who need to know X or Y and just dont have the maturity or innate motivation to do it properly. This comes from the experience of a Dutch school system so perhaps its different in other countries.
- tonymet 4mo agoA variety of performance assessments more similar to commercial pursuits. Group projects with tangible artifacts, including finished prototypes that meet objectives. More emphasis on group projects. If AI accelerates productive development like with software, move the objectives up the ladder in complexity, or expectations. Peer assessments and performance reviews like employment . This also helps prepare students for adult life. If the subject matter is merchandisable, have the students operate an enterprise. My local high school has the students operate a food cart for example, and it opens to the public one weekend a month, otherwise open to students. Students are responsible for inventory, marketing, accounting, maintenance , customer service etc. More verbal challenges . These can be operated by AI with human supervision while being recorded, with spot checks from supervisors. Every diagnostic has a precision / recall curve and some fall through the cracks. But you have to shift your approach when old testing no longer becomes viable. Better that than to revert to the stone age of informatics.
- bonzini 4mo ago> If AI accelerates productive development like with software, move the objectives up the ladder in complexity, or expectations. The problem is that the purpose of group projects is (besides practicing programming) to facilitate learning together, splitting tasks, discussing approaches, presenting the outcome. Doing these requires understanding what's going on, and if you just vibe code everything you don't have enough knowledge to experience the soft-skill parts of the work.
- dyauspitr 4mo agoThis is nonsensical. Without a corpus of knowledge memorized and at your fingertips it’s next to impossible to build on it. Project work isn’t going to get you there. Creativity and new ideas happen when someone is deeply immersed in a space and can make connections.
- Aurornis 4mo agoThis argument has been beaten to death before AI: Ever since calculators were able to do math, students have been wondering why they need to learn how to do all of this math manually when they could get the same answer from a calculator. The reasons become more obvious only when you get deeper into a field where the math gets too complex to get a simple answer out of a calculator. If you never learned the basic concepts, you can’t progress to the more difficult topics because you don’t have a good understanding of the foundation. That’s why changing goals to only look at the output doesn’t work for educating kids. Now that they can have ChatGPT answer every question they might see on a middle school or even high school exam, you could conceivably get all the way through high school graduation never having learned a single thing other than how to copy and paste between the assignment and ChatGPT. Then what happens in the real world when that student needs to learn something new? It’s obvious: They’re going to try to put the problem into ChatGPT and then give you the result back. They don’t have any foundational tools to do anything else. They haven’t even learned how to learn because there was always an easy way out. Why would anyone hire a person who can only act as an interface to ChatGPT? They won’t. They’ll use ChatGPT themselves. My unpopular opinion is that some times hard work, memorization, doing work manually, and yes, even testing, are necessary to build up an education and thinking foundation. I don’t believe it can all be replaced by ideas about challenging students to get results and then ignoring how they arrive at the result. I’ve worked with kids enough to know that they are more resourceful about finding lazy ways to pass a test than you could ever imagine.
- Gooblebrai 4mo agoGreat comment! I'm sharing this around my circles.
- CamperBob2 4mo agoAnalogies with calculators have a big problem. The calculator has no intelligence of its own. A model does. (Yes, it does. You have to be either delusional or willfully ignorant to argue otherwise at this point. Take a calculator to the IMO and see how far you get.) So there are, or at least there will be, cases where it's actually a good idea to delegate your thinking to an AI model. Students who aren't taught to acknowledge that possibility and keep it in mind are being done a disservice, just as if they were taught to treat today's limited, early-generation LLMs as a first resort.
- randsorex 4mo agoI suspect it is all futile without resurrecting the old idea of being "learned" as in learn-ed. "Learned" didn't really mean what we mean today by being well educated or smart. You can't use AI to cheat and become "learned". AI can find the books to read but you still have to read them and understand the ideas. There was connotation of breadth as opposed to depth with being "learned". I think we also have to forget about "the real world". Being "learned" automatically is going to inherit dealing with "the real world" because the real world is always changing and that is exactly why breadth should be the focus going forward more than the depth of the research university model. Of course, in a society so dominated by credentialism, credentialed people are going to hate AI because it will obviously let anyone cheat at the credential they put so much time and effort into. This doesn't need to be dressed up in some "think of the children" argument. Claude to me is the greatest thing since sliced bread that increases my "learnedness" every single day but I also am a drop out that invested basically nothing in being a credentialed person.