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后现象学研究:运用生成性认知与科幻小说促进对人工智能助推体验的思辨性反思

Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.

作者信息

Lim Ahreum, Nicolaides Aliki, Yang Xiaoou, Morkos Beshoy

机构信息

School for the Future of Innovation in Society, Arizona State University, PO Box 876002, Tempe, AZ, 85287-6002, USA.

Department of Lifelong Education, Administration and Policy, College of Education, University of Georgia, U.S.A River's Crossing 417, 850 College Station Rd, Athens, GA, 30605, USA.

出版信息

Sci Eng Ethics. 2025 May 14;31(3):14. doi: 10.1007/s11948-025-00534-3.

Abstract

This study presents an evidence-based argument for integrating participatory inquiry practices into AI education, using science fiction films as a primary tool for examining human-technology relationships. Through a media-enhanced co-inquiry approach, facilitators and students first explore the entanglements of human-technology interactions before engaging with AI nudges-productivity prompts introduced during time-constrained, interdependent assembly tasks in an experimental setting. A postphenomenological analysis of focus group interview data reveals that students' collective responses to AI nudges reflect the competitive pedagogical culture of engineering, often reinforcing rigid, task-driven adaptation. However, moments of attunement to material conditions suggest that speculative thinking can serve as a catalyst for renegotiating entrenched norms of engineering rationality. By facilitating the movement of concepts and generating productive friction, speculation disrupts dominant conceptualizations of AI that the engineering community often readily subscribes to. This study highlights the necessity of a cultural shift in engineering education-one that embraces speculative inquiry as a means of fostering sociotechnical reflection and reimagining human-technology relations.

摘要

本研究提出了一个基于证据的观点,即把参与式探究实践融入人工智能教育,将科幻电影作为审视人类与技术关系的主要工具。通过一种媒体强化的共同探究方法,在实验环境中,协调员和学生首先在参与人工智能助推(即时间受限、相互依赖的组装任务中引入的提高生产力的提示)之前,探索人类与技术互动的纠葛。对焦点小组访谈数据进行的后现象学分析表明,学生对人工智能助推的集体反应反映了工程学中竞争性的教学文化,往往强化了僵化的任务驱动型适应方式。然而,与物质条件协调一致的时刻表明,推测性思维可以成为重新协商工程合理性的既定规范的催化剂。通过促进概念的流动并产生有益的摩擦,推测打破了工程界常常轻易认同的人工智能的主导概念。本研究强调了工程教育中文化转变的必要性——一种将推测性探究作为促进社会技术反思和重新构想人类与技术关系的手段的转变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59e9/12078390/4d445f0345e6/11948_2025_534_Fig1_HTML.jpg

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