Opportunities for Integrating Generative AI, Service-Learning and Maker Movement for Transformative Learning in Engineering Education

This article explores the possibilities of integrating Generative AI, the maker movement, and service learning in engineering education to promote transformative learning. Empirical data from first-year engineering students identified three key outcomes: increased ability to solve complex problems through creative and collaborative approaches; enhanced social skills such as teamwork and community engagement; and greater personalization and effectiveness of learning via generative tools. Lessons learned emphasize the importance of flexible curriculum planning for smooth integration of these methodologies and the necessity of teacher training to manage interdisciplinary projects. The study highlights the need for a holistic approach that links learning outcomes to the social and technological context. Ultimately, this integrative methodology offers opportunities to innovate engineering education by creating more active and meaningful educational experiences, preparing future engineers for the challenges of today's world by fostering the technical, critical, and social competencies essential to their professional education.