What is AI?
AI is a disembodied algorithm designed to predict the next logical link in a chain. It is not a biological being with a body. Therefore, it does not feel like a person or other creature will. It has no will of its own. No desire, hunger. No fear. Nothing to drive it of its own sake. It sits dormant until prompted.
This is at the forefront of my mind in any discussion about AI. I see it as a tool to accomplish information based tasks. I do not see it as a replacement of human thought or feeling.
Slow Down
However, I do feel like AI makes some tasks too quick and therefore counterproductive to long term learning. Generally, I believe deep, long-term learning takes time. A fact quickly Googled, reviewed, and put into action right away is more easily forgotten than something learned through longer means.
For instance, say it's 30-40 years ago and the internet is not a thing. If you wanted a piece of information what do you do? Ask someone? Look it up? Either way, you're investing relatively more energy into getting that information. Either a conversation or a trip to the bookshelf or library at the least.
If you wanted to know something, you had to really want it. So you prioritized. You may have learned fewer things overall, but the things you learned, through greater effort, you learned more deeply and held onto them longer.
The metaphor I like for this is bread: a sourdough bread that takes over a day to proof will have a more complex flavor than a bread using commercial yeast over a few hours.
The Works of Ferlazzo
Ferlazzo speaks to me because he gives a picture of how teachers really use AI, but haven't yet incorporated into mainstream trainings yet. It seems almost grassroots that educators as individuals are using AI in similar ways without systematic collaboration or training.
He turns to it as not a "finished product to my standards, but a rough draft I finish crafting." Much in the same way I have come to incorporate it in my lesson planning. He also talks about changing the complexity level of texts more quickly.
Here it feels like a compromise. Yes, I would like to do these tasks like differentiation on my own. However, given how many tasks I have, I make the compromise to use AI to do some more quickly.
The Work of Galland & Rettingger
This last point leads into the ideas of Galland & Rettinger. Much like some of the students he talks about, I feel pressed for time and chose to "cut corners." And thus a part of the process is lost, and that complex flavor of learning is compromised.
They suggest students need to feel like they can accomplish a task or learn to accomplish it, so they don't turn to cheating or using AI. It's tough for me to hold this against them when I have succumbed to the same impulses under a similar set of emotional circumstances.