Author(s)

Ng, Tsun Sing ¹

Affiliation(s)

¹ Shenzhen College of International Education, Shenzhen, Guangdong, 518000, China

Corresponding Author

Ng, Tsun Sing

ABSTRACT

This paper delves into the cultivation of students' autonomous learning ability in the context of artificial intelligence. It comprehensively examines the application status of artificial intelligence in education, dissects its multi-faceted impacts on students' autonomous learning, and formulates a series of strategies to surmount the associated challenges. The research endeavors to offer both theoretical and practical guidance for improving students' autonomous learning capabilities in the intelligent education landscape.

KEYWORDS

Artificial intelligence; Autonomous learning ability; Educational applications

CITE THIS PAPER

Ng, Tsun Sing, Cultivation of Students' Autonomous Learning Ability in the Context of Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 39-44. DOI: http://dx.doi.org/10.23977/jaip.2025.080205.

REFERENCES

[1] Woolf, B. P. (2018). Intelligent tutoring systems: A survey. ACM Computing Surveys (CSUR), 51(1), 1-33.
[2] Bates, A. W. (2019). Teaching in a digital age. Vancouver: B Ccampus.
[3] Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30-32.
[4] Johnson, N. F., Gardner, H., & Gardner, M. K. (2017). The science of learning and the future of education. Neuron, 95(2), 240-244.

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