Artificial Intelligence Helps Innovate the Correction and Feedback Model for Primary School Mathematics Homework

Abstract

Under the background of educational informatization, the traditional primary school mathematics homework correction and evaluation methods have problems such as low efficiency and strong subjectivity. This paper discusses the application of artificial intelligence algorithm in primary school mathematics homework correction and feedback evaluation. Firstly, this paper introduces the research background,
the current situation at home and abroad, methods and objectives, and expounds the application basis of artificial intelligence algorithm in
homework correction and evaluation, including algorithm overview, primary school mathematics homework characteristics and requirements,
and application feasibility. Then an innovation mode based on artificial intelligence algorithm is constructed, which includes four modules:
Homework submission, intelligent correction, feedback evaluation and data management. Finally, through practical verification, some classes
were selected for grouping experiments. The results show that the innovative mode can improve the efficiency of homework correction, improve students performance, enhance learning interest and autonomy, but there are also problems such as the accuracy of correcting complex
questions to be improved, and students insufficient use of feedback reports, which need to be further improved.