One Size Fits All is Mostly One Size Fits None Perfectly

CD cover of 1999s Smash Mouth single All Star

except for this song, it is perfect

I’m sure it’s not just me, but it definitely seems tough out there, right? Leaving the destabilizing world of geopolitics out of it, it seems like everyone I know is going through something these days. Frequently cited Academic Scholar Smash Mouth (1999) really did say it best when he said “the years start coming and they don’t stop coming.”

I’m quite aware that recency bias tells us this is the worst it’s ever been. And the thing about worst is that it’s relative. No matter how much it would give us psychic pleasure to do so, quantifying worst probably doesn’t do anyone any good. Perhaps a more worthwhile endeavor is the understanding that each of us has a very different set of situations, experience, and biology. Several years ago, as I lay on the floor of a lunch meeting with sciatic pain from a herniated disc, I was told that I’d really know what pain was if I had ever given birth, and that I was actually lucky in this moment. And maybe that person was right. There is a good likelihood that a small taste of birthing would have been a fresh perspective, one that freed me from my attempts at back pain relief on the floor of that conference room. But acute and chronic pain are two completely different things, and in that moment I left feeling that A) I couldn’t win (take time off and be lazy/weak, or fight through and be weak/dramatic), and that B) someone else would always have it worse. But I don’t want to be the worst. In fact, I spend most of my time thinking about how to make things better. And as another adage goes, comparison is the thief of joy – and I think that goes just as much for comparing hardship.

Students live inside that kind of comparison all day: marks, rankings, the classmate who finished first. So I don’t blame them for taking the quickest path, which these days is a chatbot. When a curriculum values breadth over depth, there’s always another thing to hand in, and the work becomes something to finish and never think about again. A student who treats it that way has missed the point of learning, but the system taught them to.

I’m not sold on AI being the all-powerful entity that will destroy humanity. Cory Doctorow’s argument, that the stories of awe-inspiring terror are mostly a ploy to justify sinking unimaginable sums into projects that are about to go public, is more persuasive to me. But in my daily grind as a high school teacher-librarian, I do wonder what even the non-Doomsday outcomes mean for student learning and life opportunities.

When it’s not Minecraft open on one of the library’s PCs, I’d say that approximately 1/3 of the time I see some variant of an AI tool open and being engaged with – mostly ChatGPT and the automated Google AI response. Heck, even I struggle with it – the quality of search engine responses has declined so much in the past several years that I will occasionally find my way over to Claude for help finding a useful site. I worry about this for a couple of reasons. First, the AI we are getting now is going to hit a point where, to defend each company’s bottom line, it gets degraded with advertising and reduced in quality to keep you engaging with it. See planned obsolescence in light bulbs, or the enshittification (another Doctorow-ism) of Google. This is the most free it will ever be, and because these systems are proprietary, we’ll have no say when that changes. Second, the more we lean on it, the more we lose the skills needed to exist without it.

And AI is basically catnip to anyone. All of us feel short of time. All of us have things we would rather be doing, and often we feel like we are just jumping through the hoops of our responsibilities. And yes, there is a place for following procedure and i-dotting and t-crossing. But when AI makes most of the assignments we have been handing out over the past 20+ years irrelevant, we have to ask what we were using those assignments as a proxy for.

What is our goal? I think it has to be development and growth of students – not to some standard and a mark on a bell curve which probably reflects socioeconomic status better than growth – but to people who know their own strengths and weaknesses and know how to develop onwards. One of the most frequent arguments against changing how we mark and assess is that marks motivate learning (they do for some, though they demotivate others), and that dropping them lowers standards and flattens growth and excellence. But is that really the case? I think about “gifted” kids who make their way through elementary and secondary school without much effort, only to struggle in a world that doesn’t rely on tests and grades. What if, to pass a grade, they had to show growth and development beyond the limits of the curriculum? That’s not a lower standard, just a different one.

This past August, MIT released the Report of its Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training. Several of its ideas, I think, should shape our thinking well before post-secondary education. Three stood out:

  • Shifting assessment away from work marked solely on the product, toward oral exams, semester portfolios, and out-of-class work paired with in-class discussion
  • Building structured in-person social learning into every subject, with check-ins and graded discussion
  • Floating, as a thought experiment, the idea of going gradeless, since without grades many of the incentives to cheat might disappear

We’ve always had an assessment problem. In the world before AI, product had its issues too – think of the middle school science project that was very obviously made by the parents. But now that a finished-looking product is accessible to everyone, this is a good time to ask what we were trying to assess in the first place.

This will require shifts in our curricula, but we can’t afford to wait for that to happen because we are moving at a pace about 20x faster than curriculum development (and honestly that’s probably generous).

So I ask you: in your subject area, what skills are the crucial ones – the things that Chemistry, or Grade 3 Science, or Grade 11 History couldn’t be without? Try to set aside your love of your subject, and focus on the things that will impact the life of a student who may not be exposed to those ideas again. What are your five?

If you have your department or colleagues teaching the same class – compare your notes and make your case. How would you see a student doing this, with or without AI in the room? What does success look like, and how can you gather evidence without relying on product?

Oh, and if anyone with policy or budget power is reading this: we need help with traditional literacy skills in high schools. I know early investment gives the best return, but the gaps are real, and these students deserve better. A magical word generator doesn’t mean much when you don’t understand the words.

What now, brown cow?

Yesterday I handed in my last assignments for my last course in my Master of Educational Technology degree through the University of British Columbia. While I won’t graduate until May, it marks the end of an era – just shy of six years I have been plucking away at courses through UBC, first with my post-Bacc in Teacher-Librarianship, and then this program. Honestly, it probably won’t sink in until this January when the next semester begins and I am not juggling the demands of my day job and academia (and supervising the Varsity Boys Volleyball team, haha).

I am thankful for the learning of these years; the ideas and architecture of teaching, learning, and technology that have been made visible through thinkers and makers with skill much greater than my own. At least once a week I am reminded of the meme posted below, and when I pull back from my own unique situation, lenses, and experiences, I continue to be humbled by all of the things I know I don’t know, and even more so the things that I don’t know that I don’t know.

Random internet meme saved on my phone, original source unknown; thought about constantly.

One thing I wish I’d had throughout this degree — and especially in the final projects — was a small community of co-designers. Working full-time while studying part-time often meant creating in isolation or across time zones and distance, without the iterative conversations that sharpen ideas and reveal blind spots. Learning is ecological, and I felt the absence of that ecology at times. For anyone thinking about MET, I strongly encourage it, but especially for you to take the financial hit and take as many summer institute classes as you can. It was these experiences that really got me keen on the importance of hybridity. Even so, the work felt like a reminder that none of us should be designing the futures of education alone.

The more I learned, the more I realized that technology is never neutral — it always arrives embedded with assumptions, values, and power. I came into this program as a tech optimist, but leave it as a tech realist. This kind of program (both the T-L one and the Ed Tech one), would not have been possible to me given my geographic location. Such programs don’t exist here in Manitoba. This program was a gift — but one that came wrapped inside an increasingly precarious technological landscape. However, to borrow from the words of Cory Doctorow, the enshittification of technology has hollowed out some of my previous optimism. When so much of the truly equitizing and democratizing potential of technology is hidden behind paywalls and gradually whittled away even then for increasing add-ons you begin to wonder if the world-views of yourself and the architects of these applications are in alignment.

As a teacher-librarian trying to think carefully about ed tech, I see the role of libraries, both public, elementary/secondary school, and university as a solution to some of these challenges. This will require sustained public funding, and the (mostly) corporations that design these materials to subsidize access to ensure these technologies don’t become yet another divide between the have and have nots. It is not hard to imagine a future where the ability to participate in digital culture depends entirely on one’s ability to pay for the tools required to access it. Perhaps this is no different than inequities within print culture — but it still runs counter to the vision of education I was raised in, both as a student and later as a teacher.

I also hope that the notoriously slow-moving systems of curriculum-development and education are focused on what strikes me as the most crucial adjustment necessary of the LLM age – assessment. Our paradigm has shifted almost instantaneously, and our previous methods of assessing work at its conclusion feel unsuited for the times we are living in. Honestly, it was never suited – but it was easier, and for the students who were able to submit a polished product thanks to the assistance of a tutor, parent, or other support, their ‘knowing’ was never assured in the time before. I hazard to say that it was our biases about who specific learners are, their backgrounds, and what they look like (plus maybe the discomfort in challenging involved families) that made us look the other way. AI didn’t break assessment — it revealed what was already broken.

I used ChatGPT to create these (imperfect) graphs showing the shift to assessment that AI will necessitate. Pull the tab to the right to see how we’ve traditionally thought about product based assessment, and to the left to see my hypothesized AI assessment paradigm. Some day I will just make ones that more accurately represent my thinking (the AI Use label at the dip shouldn’t be there!)

While I worry that AI will mean increasingly high classroom numbers, I actually think that it calls for more teachers, more human mentorship, more conferencing and check-ins along the way – a necessity that is almost impossible in our current set-up. If AI teaches us anything, it’s that students don’t need us less — they need us differently.