Abstract:

In recent years, with the development of artificial intelligence technology, elementary and junior high schools in Japan have introduced mandatory courses in information science-related subjects. Additionally, the University also offers educational programs in mathematics, data science, and artificial intelligence (AI) to prepare humanities students to use these skills in addressing changes within in a digital society. This approach bridges the gap between the humanities and STEM fields, enabling humanities students to understand and apply AI, thereby contributing meaningfully to the digital society. However, with regard to the mathematics, data science, and AI education program is primarily aimed at humanities students rather than science students. Therefore, this course is classified as a “literacy-level” lecture, which is designed to provide students with a foundational understanding of elementary-level mathematics, data science, and AI as essential knowledge for navigating the digital society.

For humanities students, understanding and applying basic scientific knowledge, such as simple programming, can be challenging. In order to address this problem, we proposed to use free machine learning services to help interpret theoretical concepts while also providing practical experience. These services enable students to work independently, allowing them to explore AI concepts without needing to write code. This approach allows students to easily observe results through AI applications, and we will discuss its outcomes and benefits of this approach. Through this method, humanities students can easily assess their learning progress, find solutions to achieve desired results, and develop a deeper interest in the field of AI.

Keywords:

Program, AI, humanities students, data science, learning.