Wissenschaftler verwendeten Augenverfolgung und KI, um die genauen Momente in einem Bildungsvideo zu identifizieren, das die Schüler lernen. Sie konnten auch vorhersagen, wie viel Kinder aus dem Video basierend auf ihren Augenbewegungen verstanden haben, während sie es sahen.
https://news.osu.edu/tech-can-tell-exactly-when-in-videos-students-are-learning/?utm_campaign=omc_science-medicine_fy25&utm_source=reddit&utm_medium=social
6 Kommentare
OMG.
JIMMY! AI says you didnt understand from minutes 5:01 through 10:52. Time to rewatch this again and again until it sponges in.
From the Journal of Communication: [https://academic.oup.com/joc/advance-article-abstract/doi/10.1093/joc/jqaf036/8222800?login=false](https://academic.oup.com/joc/advance-article-abstract/doi/10.1093/joc/jqaf036/8222800?login=false)
# Abstract
A new era of message processing research will emerge from the convergence of powerful machine learning algorithms with dynamic data from everyday devices equipped with biological sensors. Our study takes critical steps into this era by integrating theory-guided artificial neural networks with eye movements to understand how people learn science concepts from dynamic multimedia. Essential to our theory-guided machine learning approach is a cognitive conceptualization of time as the dynamic interdependence between past and new information that guides how multimedia is attended to and understood. We tracked the eye movements of 197 children as they watched an educational video. We trained two neural network architectures differing in theory guidance to predict learning outcomes using eye movements. The theory-guided architecture, which considered the temporal interdependence of information, yielded more accurate out-of-sample predictions. Our work advances the use of theory-guided machine learning and the development of systems that monitor real-time learning.
Hopefully this isn’t something that’s going to be used to actually evaluate the students, rather to see what’s effective. But I personally don’t find videos or lectures to be effective unless they’re highly engaging. I think i work best when the explanation is short followed by a lot of hands on work. Maybe that’s the future of education?
Or even better: use the technique to ensure you can’t access content with out REALLY watching the ads! No more pesky consumers leaving the room to grab snacks during commercials or looking at another tab while their mid-video youtube ad runs itself out!
FYI … robots don’t care about children.
I, too, watched Ghost in the Shell. However, I did not think the way children were taught and worked in that universe was to be modeled. Sounds similar to the tech being developed to make sure we are watching ads. Paired with qualified teachers, this could be super interesting for formative measurements, but the parameters are too narrow (participants ages 4-8) for practical application in secondary education. I always wonder with this too, what’s the catch?