AI Teacher Data Preparation for Analyzing Difficult-to-Predict Behavior of Young Children: Development of practical learning materials for accident prevention and safety measures in early childhood education

Brief Paper (Asynchronous) ID: 59194
  1. aaa
    Takashi Tachino
    Shoin University
  2. Hiroshi Osawa
    Shoin University
  3. Akihide Nozue
    Shoin University
  4. Kei Aoyama
    Iwate University

Abstract: Utilizing AI in a series of studies, this research seeks to devise a solution. To shed light on this, the data collected from “watching scenarios” are divided and organized. A childcare worker education support system was set up to evaluate childcare workers’ “skilled knowledge” awareness of the risk of accidents while viewing video scenarios. Daycare training course instructors extracted both every day and risky scenarios of young children playing in water and confirmed the effectiveness of the evaluation. As a results, research will compare the similarities between the scenarios extracted by AI and those extracted by experienced childcare workers and teaching staff, and the teaching materials will be evaluated. Experiments will be used to assess the extent to which the accuracy of the AI can be improved.


Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.