“I can almost recognize its voice”: AI and its impact on ethical teacher-centaur labor

William Joseph Fassbender
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Abstract

Purpose

This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating “teacher-centaurs” whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division of labor (Durkheim, 1893/2013) that arise from outsourcing teaching tasks to AI.

Design/methodology/approach

Multiple case study (Stake, 2006) was used to collect data on two secondary English teachers who were early adopters of generative AI. Data included semi-structured interviews as well as ChatGPT chat logs, which helped in describing how teaching approaches evolved using AI technology.

Findings

Results showed that teachers used AI for planning, instruction and assessment. AI-augmented teaching practices allowed teachers to complete tasks with greater speed, which in turn increased stamina and short-term work–life balance. Given the novelty of AI, concerns about data privacy and academic integrity raised ethical questions.

Originality/value

ChatGPT’s rise to popularity in 2023 brought with it significant discussions about education, specifically how students would use AI primarily as a tool for plagiarism. This study takes a different focus, considering how early adoption of AI has begun changing teacher labor, offering implications for the future of the teaching profession.

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"我几乎能认出它的声音人工智能及其对教师--半人马道德劳动的影响
目的 本研究建立在以往理论研究的基础之上,这些理论研究考虑了人工智能(AI)及其创造 "半人马教师 "的潜力,通过使用生成式人工智能(Fassbender, in review),可以加速 "半人马教师 "的劳动(Durkheim, 1893/2013)。本文旨在使用实证方法研究半人马教师以及将教学任务外包给人工智能所产生的劳动分工(Durkheim, 1893/2013)。设计/方法/途径采用多重案例研究法(Stake, 2006)收集两位早期采用生成式人工智能的中学英语教师的数据。数据包括半结构化访谈以及 ChatGPT 聊天记录,这有助于描述教学方法如何利用人工智能技术进行演变。人工智能辅助教学实践使教师能够以更快的速度完成任务,这反过来又增强了教师的耐力和短期工作与生活的平衡。鉴于人工智能的新颖性,对数据隐私和学术诚信的担忧引发了伦理问题。原创性/价值聊GPT在2023年的流行带来了有关教育的重要讨论,特别是学生如何将人工智能主要用作抄袭的工具。本研究从另一个角度出发,考虑人工智能的早期应用如何开始改变教师的劳动,为教师职业的未来提供启示。
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