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Exploring the direction of artificial intelligence education for elementary special education students through analysis of the experiences of participants in the Digital New SAC Camp educational activities

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(6), pp.33-42
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : October 29, 2024
  • Accepted : November 24, 2024
  • Published : December 31, 2024

Eun Chul Lee 1 Young-Shin Pyun 1

1백석대학교 사범학부

Accredited

ABSTRACT

This study was conducted to explore the direction of artificial intelligence education for special education students through the educational experiences of digital sprout camp instructors and teaching assistants. To achieve the purpose of the study, the FGI technique was used. To this end, three areas and six questions were organized through literature analysis. The FGI subjects were selected from those who had teaching experience in both integrated and special school classes and had taught more than 10 times. As a result, three instructors and four teaching assistants were selected. This study conducted interviews through FGI, and extracted 39 meanings in three areas through the teaching experiences of the interview subjects. 19 meanings were extracted for integrated classes, 21 meanings for special schools, 19 meanings for instructors, and 20 meanings for teaching assistants. The educational directions extracted through the results of the study are as follows. Integrated classes are sufficient time and human resources support to operate education, sufficient infrastructure support, and customized education development that reflects the characteristics of students. Next, special schools should design and develop individualized classes that take into account the characteristics of students, provide sufficient infrastructure support, and provide prior training for teachers.

Citation status

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