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Proposal Self-Assessment System of AI Experience Way Education

  • Lee, Kibbm (Graduate School of Smart Convergence KwangWoon University) ;
  • Moon, Seok-Jae (Institute of Information Technology, Kwangwoon University) ;
  • Lee, Jong-Yong (Ingenium College of Liberal Arts, KwangWoon University)
  • Received : 2021.08.11
  • Accepted : 2021.12.02
  • Published : 2021.12.31

Abstract

In the field of artificial intelligence education, discussions on the direction of artificial intelligence education are actively underway, and it is necessary to establish a foundation for future information education. It is necessary to design a creative convergence teaching-learning and evaluation method. Although AI experience coding education has been applied, the evaluation stage is insufficient. In this paper, we propose an evaluation system that can verify the validity of the proposed education model to find a way to supplement the existing learning module. The core components of this proposed system are Assessment-Factor, Self-Diagnosis, Item Bank, and Evaluation Result modules, which are designed to enable system access according to the roles of administrator, instructors and learners. This system enables individualized learning through online and offline connection.

Keywords

References

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  8. Lee, Kibbm, and Seok-Jae Moon. "Experience Way of Artificial Intelligence PLAY Educational Model for Elementary School Students." International Journal of Internet, Broadcasting and Communication 12.4, pp232-237, 2020. https://doi.org/10.7236/IJIBC.2020.12.4.232