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Development and Effectiveness Analysis of AI and Software Education Content for Elementary School Information Education

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(12), pp.51-64
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 14, 2024
  • Accepted : December 18, 2024
  • Published : December 31, 2024

Eun-Hee Goo 1

1아주대학교

Accredited

ABSTRACT

This study analyzed the educational effects of integrated educational content on AI and software for elementary school students. The study focused on designing a step-by-step learning curriculum that enhances students' computational thinking, digital literacy, problem-solving skills, and learning satisfaction. The designed content consists of three stages: unplugged activities, block coding, and basic AI education. Through this approach, the aim was to strengthen students' procedural and logical thinking while fostering data-driven problem-solving abilities. The results showed that students who participated in the integrated education program experienced significant improvements in learning satisfaction and a sense of achievement, as well as enhanced learning motivation. In particular, the step-by-step approach effectively helped students understand AI and software concepts more easily and apply them to real-world problem situations. These findings suggest that integrating AI and software education into elementary school information education is essential. To achieve this, it highlights the need for strengthening teacher competencies and establishing a systematic educational curriculum.

Citation status

* References for papers published after 2023 are currently being built.