The Application of AI-assisted Teaching in Personalized Learning of Primary School Mathematics
Abstract
of compulsory education. To explore the practical application, mechanism, and challenges of AI-assisted teaching in personalized mathematics
learning, this study focuses on primary school mathematics education scenarios. By analyzing case data and interpreting policies, it examines
how artificial intelligence technology can reshape mathematical cognition pathways and proposes systematic optimization solutions to existing issues.
Keywords
Full Text:
PDFReferences
[1] Wan Xiayun. Promoting "Personalized" Growth: The Practice of Interactive Behavior in Primary School Mathematics Classroom [J].
Read and Write, 2025, (09): 88-90.
[2] Zhang Xiaolin. Exploring the Implementation Strategies of Personalized Teaching in Primary School Mathematics [J]. Mathematics
Learning and Research, 2025, (08): 86-89.
[3] Ye Weiyu, Chen Jing. The Status and Research of AI-assisted Teaching in the Age of AI [J]. Technology Wind, 2025, (04): 68-70.
[4] Xu Kuiju. Data Privacy and Security Strategies in AI-assisted Teaching Systems [J]. Talent Intelligence, 2025, (03): 118-121.
DOI: http://dx.doi.org/10.70711/neet.v3i3.6707
Refbacks
- There are currently no refbacks.