AI-Powered Assessments in Mathematics Education: A Systematic Review of Contemporary Research Literature

Source abstract

This paper explores the use of artificial intelligence (AI) technology in assessments within the context of mathematics education, addressing the need for creative assessment methods in light of the changing nature of education. The primary source of the issue is the shortcomings of conventional assessment techniques, which often fall short of providing prompt, personalized feedback necessary to improve student learning outcomes. The paper examines how AI-powered technologies are changing assessment procedures by providing accurate assessments, customized learning paths, and increased engagement. It does this by synthesizing current material using a systematic review technique. According to the research, AI tools that support critical thinking and problem-solving abilities also considerably improve evaluation objectivity and accuracy. These tools include Intelligent Tutoring Systems (ITS) and AI-powered calculators. According to the findings, these tools facilitate data-driven decision-making, enabling teachers to customize education to each student's requirements and resolve differences in assessment results. The research underscores AI's role in fostering a diverse and equal learning environment, thereby contributing to positive social impact. However, it also addresses practical, ethical, and technological difficulties. To sum up, integrating AI into math exams has much potential to change education, but further study and deliberate application are needed to fulfill this promise and overcome current constraints fully.