Author(s)

LiWei Xue^*, Yao Cai, ZhenDong Yang

Affiliation(s)

School of Marxism, Zhuhai College of Science and Technology, Zhuhai 519000, Guangdong, China.

Corresponding Author

LiWei Xue

ABSTRACT

The widespread application of artificial intelligence (AI) is profoundly transforming traditional educational practices. While conventional education centers on knowledge transmission and standardized assessment, AI enables dynamic knowledge generation and shifts the learning subject from isolated individuals to a collaborative process involving teachers, peers, and intelligent systems. This results in a generative shift in educational paradigms and the reconstruction of learning. Through theoretical analysis and case studies, this study explores three key questions: the drivers of the generative shift in educational paradigms, the mechanisms of learning reconstruction, and their interrelations. It aims to uncover the ontological changes in education in the AI era, offering new perspectives for theoretical innovation and practical optimization in education.

KEYWORDS

Artificial intelligenc; Educational paradigms; Learning reconstruction; Generative shift; Meaning generation

CITE THIS PAPER

LiWei Xue, Yao Cai, ZhenDong Yang. Generative transformation of educational paradigms and learning reconstruction in the AI era. World Journal of Educational Studies. 2025, 3(6): 46-49. DOI: https://doi.org/10.61784/wjes3089.

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