BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design

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.

Publication
In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
陈柳青
陈柳青
博士生导师

主要研究方向:智能设计,智能交互,设计大数据,创意设计,AR/VR,用户体验,Web前端/UI。

姜昭君
姜昭君
2023级硕士生
夏多为
夏多为
2023级硕士生
蔡泽斌
蔡泽斌
2021级博士生