Journal of East China Normal University(Educational Sciences) ›› 2023, Vol. 41 ›› Issue (3): 52-61.doi: 10.16382/j.cnki.1000-5560.2023.03.006

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The Core Technology Engine of Digital Transformation in Education: Trustworthy Education Artificial Intelligence

Bo Jiang, Yingwen Ding, Yuang Wei   

  1. Department of Education Information Technology /Institute of AI Education, SH, East China Normal University, Shanghai, 200062, China
  • Accepted:2023-01-06 Online:2023-03-01 Published:2023-03-01

Abstract:

The digital transformation of education aims to reengineer the education and teaching process and improve the quality and efficiency through digital technology. On the one hand, digital technology represented by artificial intelligence as the technical engine of digital transformation of education drives the continuous deepening of digital transformation of education. On the other hand, the “black box” problem of artificial intelligence technology has caused a crisis of human-machine trust, and there is a risk of violating basic constraints such as fairness, accountability, transparency, and ethics in education, hindering the digital transformation of education. This study sorts out the four major governance problems caused and aggravated by artificial intelligence to help the digital transformation of education, analyzes the theoretical research and development status of trustworthy artificial intelligence in education, puts forward the basic framework of trustworthy artificial intelligence in education, summarizes the opportunities brought by trustworthy artificial intelligence in education for the digital transformation of education, and puts forward the development suggestions of trustworthy education artificial intelligence to promote the digital transformation of education. The research recommends the introduction of relevant standards and regulations for trustworthy educational artificial intelligence, incorporating technical credibility into the evaluation system of education digitalization, further promoting educational data governance, and improving the digital literacy of education practitioners.

Key words: digital transformation of education, trustworthy artificial intelligence, trustworthy artificial intelligence in education, governance of education