The evolving landscape of engineering demands graduates skilled in both disciplinary knowledge and interdisciplinary problem-solving, particularly in critical areas like sustainability. Large Language Models (LLMs) present a transformative opportunity for engineering education due to their capacity for cross-domain information processing and synthesis. This paper examines the potential of LLMs to enhance interdisciplinary collaboration, knowledge integration, and complex problem-solving skills in engineering education, specifically within the context of eco-design. The study explores how LLMs can support active, constructivist, collaborative, and problem-based learning and assessment within technology-enhanced learning (TEL) environments, acknowledging methodological limitations. By analyzing LLMs integration through this pedagogical lens, the study aims to provide insights into leveraging these technologies to improve teaching and learning in the multidisciplinary field of eco-design., building upon the established effectiveness of TEL in promoting diverse pedagogical approaches and improving learning outcomes. This ongoing review's preliminary findings suggest that LLMs possess significant potential to enhance engineering education, particularly in multidisciplinary fields like eco-design.. Specifically, it can contribute to: facilitating collaboration by bridging communication gaps and promoting knowledge sharing among students from diverse disciplines; helping holistic understanding by assisting in the integration of diverse perspectives (social, economic, and environmental) into design work and analyzing the social and ethical implications of design choices; and developing complex problem-solving skills by supporting systems thinking and analysis, providing access to vast information, and facilitating the exploration of different scenarios. Integrating LLMs into engineering curricula can better equip future engineers with essential interdisciplinary competencies and knowledge required to develop complex sustainable solutions. Their application within eco-design education exemplifies the potential of LLMs to empower students to address multifaceted challenges and contribute to a more sustainable future.

Keywords: Large Language Models, LLMs, Engineering Education, Interdisciplinary Collaboration, Knowledge Integration, Complex Problem-Solving, Ecodesign, Sustainability, Technology-Enhanced Learning, TEL, Active Learning, Constructivist Learning, Collaborative Learning, Problem-Based Learning.