The emergence of various digital technologies is making it possible to develop children’s talents. Companies are also actively entering the market. One of these companies is Konica Minolta. Konica Minolta has developed a generative AI system that supports the learning of elementary and junior high school children and students. Generative AI, such as Chat GPT, learns information that exists on the Internet. These generative AIs have the risk of providing information that is not suitable for children’s education. Therefore, Konica Minolta has limited the learning data to the curriculum guidelines, textbooks, and reference books so that the AI does not use inappropriate words in its answers. This system makes it possible to support each student according to their level by utilizing data from the curriculum guidelines.
Each subject and subject lesson at school has a goal to achieve. Lessons are held to achieve the goal. Lessons have an evaluation process to check whether the children understand the lesson and reach the learning progress goal. Generally, there are three stages of evaluation to check whether the lesson was understood. First, a diagnostic assessment test will be conducted to check the academic ability before the unit. Next, after learning activities such as lessons and homework, the degree of acquisition of each child will be evaluated in a formative manner. In this formative assessment, children who are behind will be supported by repeated supplementary instruction. Finally, a summative assessment will be conducted to grasp the learning progress and academic ability of the children. If the flow of diagnosis, formative, and summary can be understood, the academic formation of children can be understood step by step in relation to the learning goals.
In today’s world, education that draws out the individuality and abilities of diverse people is more in demand. Professor David Maran, who teaches computers at Harbor University, uses AI as a “lecturer.” The “lecturer” is a generative AI that changes the difficulty of questions according to each student. Thanks to this instructor, learning can be tailored to each individual’s level, and it has the effect of making students more proactive. More than 70,000 students used this AI “instructor” in six months. And the AI ”instructor” answered millions of questions. Children with outstanding talents are said to be “gifted.” By leaving the answers to basic questions to the AI, gifted students and professors could concentrate on problems that require deep thought. In the future, generative AI will be introduced in education around the world. We would like to hone the skills and wisdom to use generative AI well to achieve our goals.