Against the backdrop of the rapid development of artificial intelligence technology, primary school mathematics education is undergoing profound structural changes. Based on the technology empowerment logic of artificial intelligence in the educational field, this paper systematically analyzes the main changes in primary school mathematics education in three aspects: teaching resources, classroom models and evaluation systems: first, the transformation of teaching resources from traditional paper to intelligent and diversified; second, the evolution of classroom teaching from “teacher-centered” to “student-centered” personalized interactive mode; third, the expansion of the evaluation system from terminal result evaluation to process-based, data-based, and multi-dimensional evaluation. In response to the current difficulties faced by teachers in adapting to the integration of technical literacy, teaching concepts and practices, this article proposes coping strategies such as improving information technology capabilities, building a personalized teaching system, establishing a scientific and reasonable multi-evaluation mechanism, and strengthening the combination of theory and practice, emphasizing the important support of inter-school cooperation and educational ecological synergy for the sustainable advancement of reform. This article aims to provide theoretical support and practical inspiration for the transformation of primary school mathematics education in the context of the artificial intelligence era, and to help improve education quality and modernize basic education.
You Dong (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: