Columbus, Ohio (WSYX) – A study related to Ohio State University combines eye tracking with artificial intelligence to identify the exact moments of educational videos that are essential for children's learning.
A study led by Jason Coronel, an associate professor of communication at OSU, suggests that technology can predict how well it understands from videos based on eye movements.
“Our ultimate goal is to build an AI system that allows viewers to know in real time whether or not they understand what they are seeing in educational videos,” Coronel said in a statement. “It would give us the opportunity to dynamically adjust individual content to help individuals understand what is being taught.”
The study, published in the Journal of Communication, involved 197 children, ages 4 to 8, who watched a four-minute video of the YouTube series Scishow Kids and Learn Bright. Eye tracking technology measured children's attention in real time, a key factor in learning, Coronel explained.
result?
After seeing, the children answered questions to assess their understanding of camouflage.
AI analysis of gaze tracking data identified specific moments in the video that correlate with correct answers.
One of the key moments was when the host asked the kids to help them find her partner.
Our machine learning and gaze tracking data show that child's eye movements at this early moment are one of the most powerful predictors of overall understanding of video,” the study author wrote.
The analysis highlighted seven key moments in which changes in eye movement are linked to understanding the concept of camouflage. Co-author Alex Bonus pointed out that these moments are in line with what is called moments.”The boundary of events“There has been a significant change in educational content in video.
Coronel highlighted the preliminary nature of the findings, but noted the possibility of designing educational content that enhances learning. As vision technology becomes more affordable and AI advances, the possibilities for individual video learning increase.
“Imagine a future where eye tracking can instantly convey when people don't understand the concepts of video lessons. “This can make teaching more personalized, effective and scalable.”
