• Title/Summary/Keyword: TocToc-Math

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Preservice teachers' evaluation of artificial intelligence -based math support system: Focusing on TocToc-Math (예비교사의 인공지능 지원시스템에 대한 평가: 똑똑! 수학탐험대를 중심으로)

  • Sheunghyun, Yeo;Taekwon Son;Yun-oh Song
    • The Mathematical Education
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    • v.63 no.2
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    • pp.369-385
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    • 2024
  • With the advancement of digital technology, a variety of digital materials are being utilized in education. For their appropriate use of digital resources, teachers need to be able to evaluate the quality of digital resource and determine the suitability for teaching. This study explored how preservice teachers evaluate TocToc-Math, an Artificial Intelligence (AI)-based math support system. Based on an evaluation framework developed through prior research, preservice teachers evaluated TocToc-Math with evidence-based criteria, including content quality, pedagogy, technology use, and mathematics curriculum alignment. The findings shows that preservice teachers positively evaluated TocToc-Math overall. The evaluation tendencies of preservice teachers were classified into three groups, and the specific characteristics of each factor differed depending on the group. Based on the research results, we suggest implications for improving preservice teachers' evaluation abilities regarding the use of digital technology and AI in mathematics education.

A study on the factors of elementary school teachers' intentions to use AI math learning system: Focusing on the case of TocToc-Math (초등교사들의 인공지능 활용 수학수업 지원시스템 사용 의도에 영향을 미치는 요인 연구: <똑똑! 수학탐험대> 사례를 중심으로)

  • Kyeong-Hwa Lee;Sheunghyun Ye;Byungjoo Tak;Jong Hyeon Choi;Taekwon Son;Jihyun Ock
    • The Mathematical Education
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    • v.63 no.2
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    • pp.335-350
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    • 2024
  • This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.