OZONO Laboratory.
Nagoya Institute of Technology

AI for Education



Members

Kaneko, Konishi

Summary

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices. AI has already been applied to education primarily in some tools that help develop skills and testing systems. As AI educational solutions continue to mature, the hope is that AI can help fill needs gaps in learning and teaching and allow schools and teachers to do more than ever before. That is why, some projects in our lab focuses on creating innovative AI approaches to solving problems schools, students and teachers are facing everyday.

One research in this category is estimating student engagement when viewing lecture videos. Online classes are an alternative to face-to-face instruction and can solve the problems of uneven distribution of educational resources and time constraints. However, in online classes, it is more difficult for teachers to know students' reactions to class content than in face-to-face classes. Therefore, we can infer engagement from students' head movements and facial expressions, and evaluate the quality of the class.

There is another one that automatically resolves the spelling inconsistencies in the reference list of a paper. The task of eliminating spelling inconsistencies in the reference list of a paper is difficult for beginners who do not have enough knowledge. Therefore, this research analyzes the types of spelling inconsistencies and aims to eliminate them automatically.