Pikhart Marcel, Klimova Blanka
Centre for Basic and Applied Research & Department of Applied Linguistics, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, 500 03, Czech Republic.
Department of Applied Linguistics, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, 500 03, Czech Republic.
Sci Rep. 2025 Jul 31;15(1):27945. doi: 10.1038/s41598-025-13741-6.
The current situation in the use of AI-driven technologies in education has seen an unprecedented rise, however, the impact of these technologies from the perspective of ethical issues is largely unknown. The aim of the research is to provide a clear overview of the potential risks that could be related to the use of AI-driven apps in foreign language learning as it is perceived by the users of these apps. The data were collected by the questionnaires distributed among the students of computer science and also the users of various AI-driven apps for their language classes. The data collection was qualitative with the aim of analyzing their feelings, opinions, and experience. The tool to analyze the data collected was liwc.app software that is a gold standard for textual analysis when looking for values, feelings, and opinions. The results clearly show that the users, who are professionals in ICT, are fully aware of the potential threats but due to the fact that they are knowledgeable about the topic they are not prone to be hacked or misused in a way the general public can be. The results also highlight several grave ethical issues related to privacy in foreign language learning apps. This is the first research drawing attention to the topic of ethical issues when using AI-driven foreign language learning apps and it can be considered a pioneering work in this neglected area.
人工智能驱动技术在教育领域的应用现状呈现出前所未有的增长态势，然而，从伦理问题的角度来看，这些技术的影响在很大程度上尚不明确。本研究的目的是清晰概述与在语言学习中使用人工智能驱动应用程序相关的潜在风险，这些风险是这些应用程序的用户所感知到的。数据是通过向计算机科学专业的学生以及各类用于语言课程的人工智能驱动应用程序的用户发放问卷收集而来的。数据收集采用定性方式，旨在分析他们的感受、观点和经历。用于分析所收集数据的工具是liwc.app软件，在寻找价值观、感受和观点时，它是文本分析的黄金标准。结果清楚地表明，作为信息通信技术专业人员的用户充分意识到了潜在威胁，但由于他们对该主题有一定了解，所以不像普通大众那样容易被黑客攻击或被滥用。结果还凸显了与外语学习应用程序中的隐私相关的几个严重伦理问题。这是第一项关注使用人工智能驱动的外语学习应用程序时伦理问题的研究，可被视为这一被忽视领域的开创性工作。
