Cheating or Learning? Walking the AI tightrope in education | Erik Winerö | TEDxGöteborg
Вставка
- Опубліковано 30 лис 2023
- The lines between learning and cheating become blurred in a world increasingly intertwined with artificial intelligence (AI). In his talk, teacher and researcher Erik Winerö tells a story with a narrative that weaves through the evolution of pole-vaulting technology and the intricacies of coding. The speaker challenges the audience to reconsider the essence of learning in the age of automation. Are we merely reaching higher bars, or are we missing the true journey of learning? Erik Winerö is a teacher and researcher, passionate about learning and IT. Erik has a background as a high school teacher in Swedish and Religion but has also, in recent years, begun to research applied IT in educational science at the University of Gothenburg. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx
Erik was the first person with whom I had a meaningful conversation on Generative AI, and how disruptive ChatGPT was likely to be to the entire education ecosystem. So pleased to see this in English.
Erik, you are taking learning sciences, teaching and evaluation of learning to a whole new level! Thank you for an "eye-opening BIG TIME!"
This is the most reasonable thing I've come across so far. 'Write the work yourself and ask cgpt for feedback'. Exactly so. How do we spread this message? Great talk. Great development of a logical argument.
Thoroughly enjoyed your perspective on this topic. Thank you. I am now quoting you in my Masters paper about AI in the curriculum.
So interesting! I love the comparison with pole vaulting, makes me think about how to define things in general. Thank you!
Have you seen the women pole vaulters?
This was an interesting presentation, Erik, thank you. To take the example of the use AI to summarise academic texts, it can happen that learners become increasingly dependent on AI tools, much to the detriment of their reading skills, which require extensive practice to develop automaticity. Those who already can, benefit; those who can't, lose even more - in the worst case. What some call the Matthew effect.
I do question, however, whether we can ask AI to help us approach difficulty like you say; the problem isn't more information. It's usually apparent what we must do; it's the will to carry things through. Don't AI tools - product-oriented as you say - work in the opposite direction, and always reduce friction wherever they find it?
Thank you for bringing light into such a dark matter. Great talk!
Solution is that quite a few teachers are often not there to teach at all but to have a job for a paycheck.
The question of AI grading would not run afoul with teachers who love their job. Because they care and would use AI efficiently not blithely and carelessly.
Really.
The same is true of students. They are not a different human. Or a beast. Not that we are saying that.
Point taken though.
Why wouldn't they do something where they could make some good money?
Was there any practical advise in this? Like a couple of examples perhaps? Of what would be cheating???
Examples for: Cheating yourself or cheating others?
It's given Olivia Dunne more time to pursue her career and not have to deal so much with her online classes.