Application of Educational Decision based on Artificial Intelligence in Subject Construction

Jie Zheng; Wei Jia; Zhibo Li; Chongzhen Duan; Guoan Liu; Xing Qi; Letian Wang; Weihao Cao

doi:10.54691/bcpbm.v15i.327

Authors

Jie Zheng
Wei Jia
Zhibo Li
Chongzhen Duan
Guoan Liu
Xing Qi
Letian Wang
Weihao Cao

DOI:

https://doi.org/10.54691/bcpbm.v15i.327

Keywords:

Educational Decision; Computer Science; Artificial Intelligence; Responsible Artificial Intelligence.

Abstract

Artificial intelligence decision is the most commonly used method to deal with AI conflict. The advantages brought by AI are efficiency, accuracy, science and coordination. Educational decision is the process of behavior design and decision carried out by educational administrative departments, institutions or individuals in order to achieve specific educational goals. Taking computer science as an example, this paper gives the application of artificial intelligence decision making in the field of education, and summarizes the ideas of educational decision making based on specific courses and the actual construction process and conclusions.

Downloads

Download data is not yet available.

References

WIRTZ B W, WEYERER J C, GEYER C. Artificial Intelligence and the Public Sector Applications and Challenges [J]. International Journal of Public Administration, 2019,42 (7): 596 – 615.

Wei Lina, Shen Jinlu. Educational decision-making mechanism in the United States: subject composition, principle of action and key model [J]. World education information,2020,33(05):34-39.

Qi Xin-yu. On quality discrimination and quality assurance of educational decision-making Process [J]. Shanghai Education Research,2006(2):19-22.

AI governance: Ensuring your AI is transparent, compliant, and Trustworthy [EB/OL]. [2021-05-15]. https://www.ibm.com/analytics/common/smart papers/ai-governance-smartpaper / # ai-governance-delivers.

AI Governance: The path to responsible adoption of artificial intelligence [R/OL]. [2021-05-15]. https://www.asianscientist.com/wp-content/uploads / 2020/07 / AI-governance -Whitepaper-Basis - AI. PDF.

ULNICANE I, KNIGHT W, LEACH T, et al. Framing Governance for a Contested Emerging Technology: Insights from AI Policy [J]. Policy and Society, 2020,40 (2): 1-20.

WEARN O R, FREEMAN R, JACOBY D M. Recovery AI for conservation [J]. Nature Machine Intelligence, 2019,1 (2) :72-73.

GASSER U, ALMEIDA V a. layered model for AI governance [J]. IEEE Internet Computing, 2017,21 (6): 58-62.

REDDYS, ALLANS, COGHLANS, et al. A governance model for the application of AI in health care [J]. Journal of the American Medical Informatics Association, 2020, 27 (3): 491-497.