工程伦理学
体验式学习
持续性
信息伦理学
利益相关者
相关性(法律)
心理学
教育学
工程教育
产品(数学)
主动学习(机器学习)
研究伦理
知识管理
高等教育
应用伦理学
伦理问题
职业道德
计算机科学
建构主义教学法
定性研究
元认知
社会学
伦理决策
社会建构主义
道德规范
虚拟学习环境
学习理论
伦理困境
商业道德
规范伦理
作者
Satesh Namasivayam,Lik Yin Ng
标识
DOI:10.1177/03064190251400058
摘要
The current investigation addresses the inadequacy of traditional approaches to engineering ethics education which lacks engagement. The paper describes an immersive learning approach, combining game-based and AI initiatives as well as addressing ethics around sustainability, in enhancing the student learning experience. This is achieved by designing an approach with activities such as (1) a board game simulating ethical dilemmas using professional codes of conduct, (2) AI-powered stakeholder debates with ChatGPT, and (3) a “Cradle to Grave” sustainability analysis of product life cycles. The approach, through its activities, are anchored in behavioral, social, and constructivist learning theories and aim to enhance ethical reasoning, long-term thinking, and professional values aligned with targets 4.4 and 4.7 of the UNSDGs. Data from 68 undergraduates showed strong outcomes. The ethics game improved students’ ability to identify and address dilemmas while AI debates challenged reasoning in an engaging manner. In both cases, more than 80% of students surveyed agreed to this. The sustainability analysis showed an appreciation for long-term ethical solutions with more than 90% of students surveyed valuing its importance. A Net Promoter Score of +52.9 indicated high satisfaction with the approach and qualitative feedback praised the real-world relevance and engagement of the activities. The study also offers a scalable, impactful model for ethics education.
科研通智能强力驱动
Strongly Powered by AbleSci AI