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BIDTrainer: an LLMs-driven education tool for enhancing the understanding and reasoning in bio-inspired design

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Title: BIDTrainer: an LLMs-driven education tool for enhancing the understanding and reasoning in bio-inspired design
Authors: Liuqing, C
Zhaojun, J
Duowei, X
Zebin, C
Lingyun, S
Childs, P
Zuo, H
Item Type: Conference Paper
Abstract: Bio-inspired design (BID) fosters innovations in engineering. Learning BID is crucial for developing multidisciplinary innovation skills of designers and engineers. Current BID education aims to enhance learners’ understanding and analogical reasoning skills. However, it often heavily relies on the teachers’ expertise. When learners pursue independent learning using some educational tools, they face challenges in understanding and reasoning practice within this multidisciplinary field. Additionally, evaluating their learning outcomes comprehensively becomes problematic. Addressing these challenges, we introduce a LLMs-driven BID education method based on a structured ontology and three strategies: enhancing understanding through LLMs-enpowered "learning by asking", assisting reasoning by providing hints and feedback, and assessing learning outcomes through benchmarking against existing BID cases. Implementing the method, we developed BIDTrainer, a BID education tool. User studies indicate that learners using BIDTrainer understood BID knowledge better, reason faster with higher interactivity than the baseline, and BIDTrainer assessed the learning outcomes consistent with experts.
Issue Date: May-2024
Date of Acceptance: 10-Mar-2024
URI: http://hdl.handle.net/10044/1/110506
DOI: 10.1145/3613904.3642887
ISBN: 979-8-4007-0330-0
Publisher: ACM
Start Page: 1
End Page: 20
Journal / Book Title: Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24
Copyright Statement: Copyright © 2024 ACM This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
Conference Name: CHI Conference on Human Factors in Computing Systems (CHI ’24)
Publication Status: Published
Start Date: 2024-05-11
Finish Date: 2024-05-16
Conference Place: Honolulu, HI, USA
Online Publication Date: 2024-05-11
Appears in Collections:Dyson School of Design Engineering
Faculty of Engineering



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