earticle

논문검색

Technology Convergence (TC)

Proposal Self-Assessment System of AI Experience Way Education

초록

영어

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.

목차

Abstract
1. INTRODUCTION
2. PROPOSAL SYSTEM
2.1 System Overview
2.2 Assessment-Factor
2.3 Feedback on correct answers to questions
2.4 Available Question
2.5 Get new question and evaluation factor
2.6 Evaluation Results
2.7 Evaluation Report
3. COMPARISON WITH OTHER SYSTEMS
4. CONCLUSION
REFERENCES

저자정보

  • Kibbm Lee Graduate School of Smart Convergence KwangWoon University, Seoul, Korea
  • Seok-Jae Moon Professor, Institute of Information Technology, Kwangwoon University, Seoul, Korea
  • Jong-Yong Lee Ingenium College of Liberal Arts, KwangWoon University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.