The emergence of Generative Artificial Intelligence (GAI) represents a turning point in teaching and learning processes, driving a transformation in higher education. Its application in the academic field not only optimises teaching but also redefines the way students interact with content. The integration of GAI tools in the Computer-Aided Manufacturing (CAM) course enables educators to enhance learning personalisation, generate adaptive resources, and design more dynamic and interactive educational experiences.

One of the main challenges in integrating AI into the classroom is preventing students from using it as a means to obtain quick solutions without significant cognitive effort. In this regard, the teacher's role is crucial in guiding its use towards stimulating creativity, critical thinking, and problem-solving skills. To achieve this, it is essential to redefine the design of classroom and autonomous learning activities, incorporating strategies that encourage an active and reflective approach to these tools.

This study details the application of GAI in the CAM course through the SAMR (Substitution, Augmentation, Modification, and Redefinition) framework. Lessons and activities have been redesigned to progressively integrate AI, from a basic substitution level to the creation of new learning experiences at the redefinition level. The results show that the incorporation of GAI tools has enabled the development of activities across all levels of the SAMR model, with a significant presence in the redefinition phase, where new educational opportunities have been created. The implementation of this methodology has not only improved academic performance but has also encouraged greater student engagement in their learning process, fostering a more active and meaningful interaction with content.

This study highlights that, when used appropriately, Artificial Intelligence can become a fundamental resource for teaching Computer-Aided Manufacturing, facilitating pedagogical innovation and the evolution of teaching methodologies in higher education.

Keywords: Generative Artificial intelligence (GAI), SAMR framework, pedagogical design, teaching and learning activities.