Integration of AI tools in learning pedagogy for L2 Learners in Engineering Education: Impacts, Challenges and Possibilities

For instance, AI (artificial intelligence centric tools have been integrated into educational technology networks, especially within the engineering department. This integration aims to support the personalized and interactive learning needs among second language learners (L2). Implementing AI resources like chatbots, virtual tutors, and interactive games/simulations allows L2 learners to receive the personalized service they need according to their language level by computing student performance levels and acting directly on learning feedback. These resources are also interactive tools, providing L2 learners an opportunity to work on their own time while being supported in real-time as needed. Using our AI tools in learning pedagogy for L2 learners in engineering education has been effective. Research shows that AI tools can potentially enhance language skills, critical thinking, and problem-solving among L2 learners. It also boosts students’ engagement and motivation, which results in superior learning outcomes. However, AI integration presents challenges, including potential time and resources for internal training and support of instructors using such a platform and learners engaged with it, content accuracy/relevance, and privacy compliance. Educators must find a happy medium between AI tools and classroom-based teaching when using Artificial intelligence for education. In this context, AI tools can be successfully integrated into learning pedagogy for L2 learners in engineering education and are likely to enhance their academic performance overall. If successfully applied and appropriate issues considered, it can improve the teaching-learning process, enabling better preparation for their engineering-based career $\mathbf{L} 2$ learners.