Using Artificial Intelligence Applications in Teaching Mathematics(Between Promising Prospects and Necessary Cautions)

Abstract

The study discusses about artificial intelligence (AI) as a modern educational technology with its conceptual framework, its past, key categories, uses, and ethical issues. It examines the "why" of the integration of AI in education and explores its applications and implications, focusing on mathematics education. The study provides an overview of the use of AI-supported applications to facilitate personalized teaching, formative assessment, problem solving, mathematical visualization and engagement. It also addresses the benefits which could be realized, including enhanced instructional efficiency, differentiated instruction, early identification of misconceptions and increased access to learning resources. However, there are some important issues that must be addressed for effective implementation such as algorithmic bias, data privacy, cyber security, unequal access, inaccuracies in the content generated, and limiting teacher autonomy. The study also explores some of the new developments and the future of AI in maths education, highlighting its evidence-based integration, teacher training, transparent assessment, oversight, and connection to curriculum and pedagogical goals. It ends by making proposals for the protection of responsible, equitable and educationally relevant use of AI in Mathematics classrooms.