Generative AI is everywhere these days, and I believe most of you
reading this post have already used some form of AI in your work or
daily life. As someone who strongly believes in the power of technology
in education, I always encourage teachers, educators, and researchers to
tap into the potential that these tools offer, not just to save time or
automate tasks, but to rethink how we work, learn, and create.
That said, I know how overwhelming things already are for most teachers. The workload is heavy enough without adding “
learn about AI”
to your to-do list. But let me say this: AI is no longer an option. Our
students are already using it, and, in many cases, they probably know
more about it than we do. Like it or not, AI is shaping the future of
education and work, and we need to catch up.
This is where AI literacy
comes in. I like to think of AI as a framework that can help you
develop the skills to search for, evaluate, and integrate AI in
meaningful and ethical ways in your teaching and research. The problem,
of course, is that searching for good AI tools can quickly turn into a
frustrating, time-consuming process especially when your time and energy
are already stretched thin.
That’s why I created this post.