What is it about?
Students are usually hesitant to ask questions when they are learning. Especially in an e-learning environment, they are alone and cannot find someone asking for help. We used a web camera to capture students' facial expressions and machine learning tools to detect the timing when they sought help.
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Photo by Compare Fibre on Unsplash
Why is it important?
To our knowledge, there is no research to detect students' help-seeking behavior by using their facial expressions. This tool can be applied in an e-learning environment to help students or teachers to monitor their learning process and adjust their learning strategies.
Perspectives
I spend plenty of time developing a website to teach students about language analysis, like a real Linguistic Olympiad Competition. Amazingly, we could estimate students' help-seeking state by using their facial expressions. These results motivated us to develop more automatic AI functions on the website. I hope you enjoy this article.
Guan-Yun Wang
Tohoku University
Read the Original
This page is a summary of: Detecting Learners' Hint Inquiry Behaviors in e-Learning Environment by using Facial Expressions, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3573051.3596182.
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