Artificial Intelligence in Mathematics and Its Expectations: A Review

Abstract

For many pupils, learning mathematics has been a significant problem. The development of computer innovation, especially Artificial Intelligence (AI), offers an answer for this issue by identifying individual understudies' learning difficulties and giving individualized help to assist them with performing better in mathematics classes. In any case, there is a deficiency of assessments from various perspectives to help scientists, especially fledglings, in acquiring a thorough comprehension of AI research in mathematics training. With that in mind, this study will lead a bibliometric planning examination and deliberate survey to explore the job and exploration patterns of AI in mathematics schooling via scanning the data set for pertinent articles distributed in excellent diaries. Besides, by alluding to the innovation based learning model, a few parts of AI in mathematics schooling research are considered, including application spaces, members, research strategies, embraced advances, research issues and AI jobs, as well as reference and co-reference connections. Subsequently, progress in AI research in mathematics schooling is introduced, and conceivable review subjects for future exploration are recommended.