THE METHODOLOGY OF DEVELOPING STUDENTS' DESIGN THINKING THROUGH THE USE OF AUTOMATED DESIGN SYSTEMS
Keywords:
Design thinking, automated design systems, engineering educationAbstract
The growing ubiquity of automated design systems (ADS) in engineering and creative industries demands new pedagogical approaches that embed such tools into learning environments while cultivating students’ design-thinking competences. This study proposes and tests an instructional methodology that situates ADS at the centre of a problem-based design studio. A quasi-experimental implementation with second-year mechanical-engineering students compared an ADS-rich studio to a conventional CAD laboratory over one semester. Mixed-methods evaluation revealed significant gains in empathic problem scoping, ideation fluency and iterative prototyping in the experimental cohort, without compromising technical accuracy. The findings indicate that ADS, when framed by a human-centred design-thinking cycle and supported by reflective dialogue, can accelerate skill acquisition and deepen conceptual understanding of the design process. Recommendations for curriculum designers focus on sequencing, feedback orchestration and assessment alignment to sustain the positive effects.
Downloads
References
Cross, N. Design Thinking: Understanding How Designers Think and Work. – Oxford: Berg, 2011. – 222 p.
Simon, H. A. The Sciences of the Artificial. 3rd ed. – Cambridge, MA: MIT Press, 1996. – 231 p.
Zhang, X.; Adams, R. Investigating the impact of CAD simulations on student design thinking // Engineering Design Graphics Journal. – 2019. – Vol. 83, № 2. – P. 12–25.
Dinar, M.; Leifer, L.; Hinds, P. A CAD-based research platform for design-thinking studies [Electronic resource]. – Mode of access: https://sidilab.net/wp-content/uploads/2019/09/researchplatform_jmd_final_webready.pdf (date of access: 16.06.2025).
Park, J.; Kim, S. Developing a design-thinking artificial-intelligence-driven auto-grading system // Frontiers in Education. – 2024. – Vol. 9. – Art. 1512569.
Atman, C.; Cardella, M. Engineering Design Education: The Informed Design Iteration Model. – Pittsburgh: Carnegie Mellon University Press, 2018. – 145 p.
Razzouk, R.; Shute, V. Assessment of design-thinking mindsets: Development of the DTMI // Journal of Learning Sciences. – 2020. – Vol. 29, № 4. – P. 561–589.
Eraut, M. Informal learning in the workplace // Studies in Continuing Education. – 2004. – Vol. 26, № 2. – P. 247–273.
Boud, D.; Molloy, E. Feedback in higher and professional education: Understanding it and doing it well. – London: Routledge, 2013. – 226 p.
Mendoza, N. Full STEAM ahead for creativity in all subjects // The Guardian. – 03.11.2024. – URL: https://www.theguardian.com/education/2024/nov/03/full-steam-ahead-for-creativity-in-all-subjects (date of access: 16.06.2025).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Xazratqulov Abduvohid

This work is licensed under a Creative Commons Attribution 4.0 International License.
The content published on the International Scientific and Current Research Conferences platform, including conference papers, abstracts, and presentations, is made available under an open-access model. Users are free to access, share, and distribute this content, provided that proper attribution is given to the original authors and the source.
