By Prof Ir Dr Che Maznah Mat Isa Professor, Faculty of Civil Engineering & Technology Universiti Malaysia Perlis (UniMAP) and Dr Nur Izzati Ab. Rani Senior Lecturer, Faculty of Civil Engineering, Universiti Teknologi MARA
AI is transforming engineering education by reshaping curricula, personalising learning, boosting performance, and enabling global collaboration, while also raising ethical and equity challenges. It supports lifelong learning and professional growth, helping engineers adapt and share resources. This article explores four dimensions: smarter classrooms, lifelong learning, ethics and equity and global collaboration.
What AI Brings to Education
AI techniques like machine learning (ML), deep learning (DL), large language models (LLMs), and analytics enable personalised learning, rapid feedback, and data-driven decisions. Generative AI boosts students’ reasoning, while predictive tools track engagement, identify misconceptions, and recommend resources — although effective use needs oversight. Ethical concerns like bias, privacy, authorship, and integrity requires oversight. Educators leverage AI for formative feedback, with institutions increasingly adopting AI core infrastructure.
Engineering education blends problem-solving, design thinking, and practice through frameworks like Conceive–Design–Implement–Operate (CDIO) and challenge-based learning. Competency-based approaches focus on literacy, teamwork, and ethics, linking engineering with design, entrepreneurship, and digital tools. Curricula are updated and flexible, incorporating labs to virtual learning. Early exposure to complex problems builds resilience, supported by apprenticeships and project work. Digital transformation via e-learning, analytics, and remote labs expands access but demands robust design and support.
