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The strength of the company, which aims to provide the best learning that makes the best use of each individual, is not a tool that evaluates from the standpoint of teachers or human resources, but seeking learning that is close to the standpoint of children and working workers. is.

ー Mr. Fukumoto
I have personally experienced the actual situation of children and people who are suffering from depression, but there are also members who provide workplace consulting and mental support for employees from the standpoint of industrial physicians. Our uniqueness lies in our driving force in providing a form of learning that leads to individual happiness while staying close to the actual situation, rather than tools built solely on theory.

ー Mr. Kaneko
Our goal is to recognize the unique characteristics of each individual and create a learning environment that suits them, so that they can gain opportunities for growth that they have been missing.
Using a food allergy analogy, a child who is allergic or has indigestion to a specific ingredient will not be criticized for not eating it and despair if the allergen can be identified. However, in the learning field, it is difficult to identify the cause of allergies or indigestion to information input, and growth opportunities are often lost. To prevent this from happening, the Company want to provide a solution that can objectively measure cognitive characteristics, just like stepping on a scale.

Task

A veteran teacher can guess from many years of experience how to learn for each child, but whether or not you meet such a teacher is just a matter of luck.

ー Mr. Kaneko
It is common to conduct a questionnaire-based diagnostic test to investigate the characteristics of children, but if biometric authentication can be used to visualize unconscious signs such as facial expressions, gaze, body habits, etc. We should be able to provide a place for learning. It doesn't depend on luck.

ー Mr. Fukumoto
It is possible to implicitly recognize patterns when observing children's behavior in the field, but I thought that the same thing could be visualized by sensing facial expressions and gazes. However, it has not fallen to the point where it can be explained theoretically.
I hypothesized that by increasing the amount of data, there might be something that could be seen as a mass with a large volume.

However, Mr. Fukumoto was skeptical about AI at first, as he has always been hands-on.