Negative impacts of the use of artificial intelligence in English language learning among university students and precautionary measures to mitigate

Tan, Jia Ling (2025) Negative impacts of the use of artificial intelligence in English language learning among university students and precautionary measures to mitigate. Final Year Project, UTAR.

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Abstract

The emerging use of Artificial Intelligence (AI) in higher education raises concerns regarding the potential negative effects that may result from an extensive AI usage in learning English. This research aims to examine the negative impacts of long-term AI usage on English language learning, and identify the precautionary measures to reduce such adversities. This paper implements a mixed-methods approach, whereby a questionnaire consisting of 5-point Likert scale questions and open-ended questions is distributed to 150 undergraduates majoring in English to obtain their perspectives on the research topic. The data collected are analysed via descriptive analysis and thematic analysis. The main findings demonstrate that Technology Dependence and False Information are two of the most prominent adverse effects of using AI in learning English. Additionally, the findings also depict eight themes derived from the participants’ responses regarding the precautionary measures, which encompass areas such as practical tasks, AI literacy, AI ethics, plagiarism, assessment modification, and cognitive skills. The main findings emphasise the importance of raising public’s awareness on the potential negative consequences in using AI to learn English as well as the mitigation strategies to build a well-balanced AI-integrated teaching and learning environment.

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