BIDTrainer: an LLMs-driven education tool for enhancing the understanding and reasoning in bio-inspired design
File(s)chi24-989 (8).pdf (6.36 MB)
Accepted version
Author(s)
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.
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.
Date Issued
2024-05
Date Acceptance
2024-03-10
Citation
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24, 2024, pp.1-20
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)
License URL
Identifier
https://dl.acm.org/doi/10.1145/3613904.3642887
Source
CHI Conference on Human Factors in Computing Systems (CHI ’24)
Publication Status
Published
Start Date
2024-05-11
Finish Date
2024-05-16
Coverage Spatial
Honolulu, HI, USA
Date Publish Online
2024-05-11