Bard, ChatGPT and 3DGPT: a scientometric analysis of generative AI tools and assessment of implications for mechanical engineering education

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Interactive Technology and Smart Education Pub Date : 2024-02-16 DOI:10.1108/itse-10-2023-0198
Khameel B. Mustapha, E. Yap, Y. Abakr
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Abstract

Purpose Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices. Design/methodology/approach As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks. Findings The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry). Originality/value To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.
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Bard、ChatGPT 和 3DGPT:生成式人工智能工具的科学计量分析以及对机械工程教育影响的评估
目的随着最近生成式人工智能(GenAI)工具的兴起,有关其广泛影响的基本问题开始在各个学科中引起反响。本研究旨在跟踪围绕 GenAI 工具的一般问题的发展态势,并阐明这些工具作为技术辅助机械工程教育和专业实践的一部分所带来的具体机遇和局限性。设计/方法/途径作为调查的一部分,作者对最近发表的研究进行了简要的科学计量分析,以揭示该主题的新趋势。此外,作者还使用选定的 GenAI 工具(Bard、ChatGPT、DALL.E 和 3DGPT)对机械工程相关任务进行了实验。研究结果该研究确定了在机械工程中部署 GenAI 工具的若干教学和专业机会以及指导方针。此外,研究还强调了 GenAI 工具在分析推理任务(如涉及单位换算的计算中的细微错误)和草图/图像生成任务(如对称性演示不佳)中存在的一些缺陷。 原创性/价值 据作者所知,本研究首次从机械工程领域的视角对 GenAI 的潜力进行了全面评估。结合科学计量分析、实验和教学见解,本研究独特地关注了 GenAI 工具对产品设计中材料选择/发现、制造故障排除、技术文档和产品定位等方面的影响。
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来源期刊
Interactive Technology and Smart Education
Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
12.00
自引率
2.30%
发文量
30
期刊介绍: Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.
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