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Since the launch of chatbots such as ChatGPT or Google Gemini, large language models (LLMs) have been rapidly growing in popularity. Among others, intensive discussions are happening around the use of LLMs in education, in particular, with reference to the issues of plagiarism and dishonest use. To address the problem, the authors have engaged students of higher education institutions in the research of possibilities of LLMs application in the learning process. 91 respondents took part in the survey, answering questions about the possibilities of LLM usage. The findings of the research contain 66 codes that indicate the issues related to the engagement of LLM in learning process support. Among others, these issues are writing assistants, repetitive tasks, task individualization, anti-plagiarism introduction, data protection increase, AI usage rules, law protection, information verification, free access, conscious education, etc. The respondents emphasized the risk of receiving false answers and the necessity of critically assessing the results provided by LLMs. The authors came up with the conclusion that overall, the students understand the risk connected with using large language models in their learning process.

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Using ChatGPT in Higher Education: Opportunities, Challenges, and Adaptation of LLMs in the Individual Learning of HEI Students

  • 章节

  • 发表日期：

    2026年

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  • Artur Strzelecki,
  • Paulina Rutecka,
  • Karina Cicha,
  • Mariia Rizun

摘要

Since the launch of chatbots such as ChatGPT or Google Gemini, large language models (LLMs) have been rapidly growing in popularity. Among others, intensive discussions are happening around the use of LLMs in education, in particular, with reference to the issues of plagiarism and dishonest use. To address the problem, the authors have engaged students of higher education institutions in the research of possibilities of LLMs application in the learning process. 91 respondents took part in the survey, answering questions about the possibilities of LLM usage. The findings of the research contain 66 codes that indicate the issues related to the engagement of LLM in learning process support. Among others, these issues are writing assistants, repetitive tasks, task individualization, anti-plagiarism introduction, data protection increase, AI usage rules, law protection, information verification, free access, conscious education, etc. The respondents emphasized the risk of receiving false answers and the necessity of critically assessing the results provided by LLMs. The authors came up with the conclusion that overall, the students understand the risk connected with using large language models in their learning process.