In this paper, we have designed a system that shows how social studies and science are linked to local food, with the aim of creating a system that stimulates interest in social studies and science using local food as a starting point. Specifically, a class diagram of the relationship ontology between life sciences and local food was developed and a prototype user interface design was created.

We consider the design of a system to arouse interest in Kagura using OpenPose and MMD Agent as a first step to promote Iide Kagura, a traditional performing art in Tono City, Iwate Prefecture, to a wide range of people including young people and tourists. Concretely, we created an MMD movie with 3D models of dancing virtual characters using OpenPose and MMD Agent. Although the video is not yet sufficient for use in traditional traditions, we believe that if the quality of the video becomes high enough, it will be able to arouse the interest of children and the younger generation.

The importance of learner-centered education has been raised for the recent elementary school education. In this paper, we consider applying an automatic transcription system that automatically chooses necessary speech recognition results using GPT-3 to face-to-face discussion among elementary students. A moderator edits the sticky-note-like transcription, and the discussion participants can always check discussion content. As a case study, we preliminarily evaluated the effect of the transcription system in group discussions for elementary school students and the parents.

Biodiversity is an important foundation for human survival. Traditional knowledge, known as Indigenous and Local Knowledge (ILK), is critical to conserving biodiversity. However, the inheritance of ILK is getting difficult all in Japan. Against this trend, machine learning is expected to have the potential to facilitate the challenge of inheriting ILK. The purpose of this study is to develop a dialogue system to support the succession of Japanese ILK for managing nature. As study data, 529 articles from "Kikigaki Koshien" were collected, which is a knowledge base related to nature's contributions and inheritance and revival of tradition. The two dialogue systems were built: a retrieval system and a generative system. For retrieval system, the articles were preprocessed and the natural language data frame with 52360 triplets was built. And ILK was learned from the triplets using Sentence-BERT, which was pre-trained on Japanese Wikipedia. Next, By the fine-tuned BERT, articles are retrieved and answers to questions are synthesized. And for generative system, ILK was learned from the bodies of the articles using GPT-2, which was pre-trained on Japanese web crawl data. Next, By the fine-tuned GPT-2, texts on traditional knowledge following the given prompt were generated. Finally, an experiment with 19 subjects to evaluate the naturalness and usefulness of the 10 synthesized conversations by retrieval system was conducted and future development perspectives were discussed.

The importance of elements that cannot be measured by examination such as non-cognitive skills raise for the recent child education. For the investigation of people's needs on the recent child education, we conducted a survey to collect opinions for the five questions using a crowdsourcing service. As a result of the hierarchical clustering of opinions, trends of the educational contents required today's children and the ideal image of adults required in the future were found.

In recent years, population decline in rural areas has become a major issue in Japan. In order to prevent population decline, it is necessary to improve living satisfaction, and one method is to use sports. We propose a sport called Kabaddi. Kabaddi is a team sport born in India and a minor sport in Japan. We considered that it is a sport that is suitable for regional revitalization, and established the Kabaddi Circle with Shinshu University. As a result, it was found that Kabaddi may lead to regional revitalization and that people can be attracted with a small number of advertisements. In the future, it is necessary to consider how to open the Kabaddi, which is played mainly by students, to the community.

In the previous research, we have developed the QGIS plugin to assist in planning a new service area for on-demand traffic service in Sanyo-Onoda City, mainly to assist in finding an optimal path that could be the longest with registered addresses, applying the idea of hop in the computer networking field. The result was considered valuable, but there was still a problem that it takes some time to find a path. In addition, it is not easy to set a parameter for finding a path. Therefore, applying an algorithm with a more effortless parameter setting and faster calculation is needed. In this research, we selected the k-means algorithm and applied it to the plugin.