Utilizing a Knowledge Based System with Design Heuristics for Sustainable Engineering Education

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Gerald Kremer
Lisa Hagedorn
https://orcid.org/0000-0001-9220-5633
Rainer Stark
https://orcid.org/0000-0002-2599-0130

Abstract

This paper explores the integration of a Knowledge-Based Engineering System (KBES) for design heuristics to enhance sustainable engineering education. The primary goal is to equip students with the skills needed to develop sustainable products while comprehending the complexities and multifaceted nature of sustainability. As sustainability is highly context-dependent, the importance of utilizing context-specific knowledge in product development is emphasized. A key question addressed in this study is how digital tools can effectively provide and facilitate the sharing of knowledge critical for sustainability-oriented design. The paper also examines how to build competency in sustainability using design heuristics, which are easy to understand and apply, offering students a practical approach to sustainable problem-solving. By integrating KBE systems with these heuristics, this paper proposes a framework for engineering education that fosters a deeper understanding and actionable skills for developing sustainable products. This approach aims to empower future engineers to create solutions that are not only innovative but also responsible and adaptive to the complex demands of sustainability.

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How to Cite
Kremer, G., Hagedorn, L., & Stark, R. (2025). Utilizing a Knowledge Based System with Design Heuristics for Sustainable Engineering Education. SEFI Journal of Engineering Education Advancement, 2(1), 141–179. https://doi.org/10.62492/sefijeea.v2i1.35 (Original work published June 26, 2025)
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Author Biographies

Gerald Kremer, https://orcid.org/0000-0001-6497-374X

Gerald Kremer, M.Sc. holds a master’s degree in Industrial Engineering from Technische Universität Berlin and is currently pursuing a PhD in the field of Industrial Information Technology. His doctoral research explores how knowledge based engineering systems can capture, structure, and deliver experiential design knowledge to accelerate the development of sustainable products. He supervised the research project reported in this paper. Beyond his PhD work, his studies focus on assistance systems for product development, including the qualification of sub-symbolic AI solutions in industrial environments and the design and deployment of digital twins.

Lisa Hagedorn, TU Berlin

Lisa Hagedorn, M. Sc. is about to complete her PhD in engineering education and holds a background in industrial engineering. Her research focuses on preparing engineers for sustainable product development, with a particular interest in professional competences, instructional design, and transformative learning environments. She has contributed to the development and evaluation of interdisciplinary curricula and is committed to fostering inclusive and diversity-aware learning in STEM education. For eleven years, she worked as a research associate at the Department of Industrial Information Technology at TU Berlin, where she was involved in the advancement of innovative teaching approaches and the professionalization of engineering education. Among other things, she designed and implemented unconventional formats such as podcasts and live-streamed lectures via Twitch to engage new audiences and expand the learning space beyond the traditional classroom.

Rainer Stark, TU Berlin

Prof. Dr.-Ing. Rainer Stark is Professor for Industrial Information Technology at Technische Universität Berlin since February 2008 and, since June 2024, a member of the speaker team of the acatech research board Industrie 4.0. He also directed the Virtual Product Creation division of Fraunhofer (2008–2021). Stark studied mechanical engineering at Ruhr-University Bochum and Texas A&M University and earned his doctorate at Saarland University in 1994 with the thesis “Development of a mathematical model on tolerance for the integration in (3D-) CAD systems”. From 1994 to 2008 he served at Ford Motor Company: System Engineer Body Engineering (1994–1997), promoted in 1997 to Technical Specialist for CAD, product modeling and product information management, and European Technical Manager Methods for Virtual Product Creation (2002–2008). His research covers virtual product creation (CAx, PDM/PLM, DMU, AR/VR, Digital Factory, AI, MBSE), digital twins, and data engineering & analytics. He is a member of acatech, WiGeP, the Design Society, CIRP, the ProSTEP iViP board, and the VDI board Product Development and Product Management.