arXiv:2607.12295cs.CYcs.AI2026-07

分析五年推特数据,揭示公众对教育AI伦理看法的演变。

A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data

  • 用BERT和SetFit分析2019-2024年推特对话,追踪主题与情绪变化。
  • 整体态度积极,但生成式AI引发学术诚信担忧成为近期焦点。
  • 适合教育政策制定者与机构管理者参考,了解公众真实期待。

人工智能(AI)与生成式AI(GenAI)在教育中的快速融合带来了教学创新机遇,也引发伦理争议。理解公众对此类技术使用的看法至关重要。本研究基于2019至2024年五年的推特(现为X)数据,分析教育领域中关于AI伦理的公共讨论演变,特别关注ChatGPT发布这一关键节点对话语性质与基调的重塑。通过基于BERT的主题建模与SetFit情感分析,发现整体舆论以正面为主,负面情绪集中于特定伦理争议。近年来,学术诚信及生成式AI的广泛影响成为核心议题。尽管讨论并非两极分化,公众总体持务实态度,接受AI整合,但对伦理监管与机构问责的呼声日益增强。该研究为教育者、机构与政策制定者提供了基于实证的公众期望图景,有助于推动负责任、透明且公平的教育AI应用策略。

原文摘要 · Abstract (English)

The rapid integration of artificial intelligence (AI) and generative AI (GenAI) into education presents significant opportunities to enhance teaching and learning, while raising ethical concerns about the responsible use of these technologies in educational settings. Understanding how the public perceives and debates these issues is increasingly important for educators, institutions, and policymakers seeking to integrate AI responsibly and equitably. Social media platforms, where such debates unfold frequently and at scale, offer a valuable lens for capturing large-scale, real-time public reactions to key developments as they emerge. In this study, we analyse five years (2019-2024) of discourse on Twitter (now X) to trace the evolving public conversation around AI ethics in education, paying particular attention to the release of ChatGPT as a pivotal moment that reshaped the nature and tone of that discourse. Using BERT-based topic modelling and SetFit sentiment analysis to identify dominant themes and track sentiment over time, we find that the discourse has been predominantly positive across the observation period, with negative sentiment concentrated around specific ethical controversies. More recently, anxieties about academic integrity and the broader implications of generative AI have come to dominate the conversation. Rather than reflecting a polarized debate, public discourse appears pragmatic and largely receptive to AI integration, though accompanied by growing calls for ethical oversight and institutional accountability. By providing a longitudinal account of public sentiment surrounding AI ethics in education, this study informs educators, institutions, and policymakers an empirically grounded understanding of public expectations, informing the development of responsible, transparent, and equitable approaches to AI integration across educational contexts.

AI伦理教育科技社会舆情推特分析

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