There are too many lessons here to summarize in a single post, but by and large I agree with them, as they parallel my own experience and what I've been seeing elsewhere. For example, "Students develop AI literacy through direct experimentation with its capabilities and limitations, not through theoretical instruction." And, "Measuring individual knowledge acquisition makes little sense in an era of AI-human cognitive partnership." The funny thing is that I think these 22 observations have always been true, even if our formal systems of education have not recognized them. Image: Zhai, et al. (a bit dated but worth a read in its own right).
Today: Total: [Direct link] [Share]
