Digital Learning and Assessment: Harnessing the Power of AI in Secondary School Mathematics

Abstract

This study explored the potential Impact of Artificial Intelligence (AI) on Digital Learning and Assessment of Secondary School Mathematics, using Brunner's theoretical framework as its underpinnings. Utilizing a comprehensive retrospect approach, the research examined the effects of platforms on academic achievements and the overall learning outcomes of teaching mathematics in secondary schools. By harnessing the capabilities of AI, schools can tailor learning experiences to students, adapt curriculum to individual needs, and automate the grading process for efficient assessment. The introduction of Artificial Intelligence (AI) into our secondary school curriculum will surely revolutionize the face of our teaching and learning processes. Though not operational in our classrooms for the teaching of Mathematics when introduced it will answer the 21st century questions of innovative strategies of problem solving, critical thinking and creativity which is missing in our schools today. The study recommends that for schools to effectively leverage AI in secondary school mathematics education, government and non-government agencies must invest in high-quality digital learning platforms, incorporating AI-powered assessment tools, equipping teachers for training and retraining to keep them ahead of their students, promoting collaborative learning experiences, and ensuring data privacy and security. By embracing AI, secondary school mathematics education can be transformed, enabling students to develop a deeper understanding of mathematical concepts and excel in their academic journey both in internal and external examination thereby curbing the menace and phobia for mathematics.