|
As
artificial intelligence technology advance rapidly, the
rapid development of Generative Artificial Intelligence
(GenAI) technology has brought subversive innovation in
the field of education, promoted the further deepening
of education reform, and provided strong technical
support for improving the quality of teaching and
education. This paper systematically explores the core
application modes of generative AI in education
scenarios, including personalized learning, teaching
design, teaching evaluation, etc., and analyses the
advantages of generative AI in education through the
three dimensions of data-driven decision-making,
optimization of teaching costs, and cultivation of
cross-disciplinary capabilities. Meanwhile, this paper
reveals the challenges faced by generative AI in
educational applications, such as data privacy and
security, ethical risks and teacher training issues.
Finally, this paper gives an analysis of the future
development direction of generative AI in education. In
conclusion, this paper provides an in-depth analysis and
discussion on the application of generative AI in
education, and the results show that generative AI can
significantly improve the efficiency and fairness of
education through the mechanism of human-machine
synergy, and it is important to provide theoretical
support and practical guidance for education reform. |
