The diversity of today's learners, with varying backgrounds and preferences, calls for a personalised approach to education. Traditional teaching methods disregard individual learning styles, pace, and strengths. This can cause some learners to fall behind or lose interest. Thus, adaptive learning through personalised and inclusive teaching strategies are essential for effective learning. Adaptive learning is a relatively new field, but it has the potential to revolutionise education by helping learners achieve their full potential. This paper explores the use of Artificial Intelligence (AI) - powered adaptive learning in engineering mathematics education. AI-powered adaptive learning uses machine learning to analyse learner data to create personalised learning roadmaps with customised content, targeted focus on specific areas and frequent practice for each learner. This approach empowers learners to receive immediate feedback and focus on their specific needs, leading to improved learning outcomes. At the end of this paper, the recommendations on how to improve AI accuracy for delivering materials and assessments will be discussed.
