This paper investigates the use of artificial intelligence (AI) in scientific research in higher education, focusing on the challenges, implications, and strategies for successful implementation. It looks at the perspectives of Libyan postgraduate students and faculty members from various disciplines and universities. The study employs a mixed-methods approach, combining quantitative and qualitative data collection methods such as structured online questionnaires (via Google Forms) and phone interviews. The findings show that, while AI tools such as ChatGPT, Grammarly, and data analysis software improve research efficiency and accuracy, significant barriers remain, including ethical concerns (e.g., bias, privacy, and plagiarism), limited resource access, and insufficient training. The study’s findings also stress the urgent need for ethical guidelines, institutional policy reforms, and targeted training programs to address these issues. By providing practical recommendations that can help in bridging gaps in technological adoption while upholding ethical and cultural values, this study contributes to the global debate on artificial intelligence in higher education.

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Artificial Intelligence Integration in Higher Education: Perspectives of Libyan Teachers/Students on Challenges, Ethics, and Implications

  • Zamzam Amhimmid Mare,
  • Ahlaam Emhimmid Almabrouk

摘要

This paper investigates the use of artificial intelligence (AI) in scientific research in higher education, focusing on the challenges, implications, and strategies for successful implementation. It looks at the perspectives of Libyan postgraduate students and faculty members from various disciplines and universities. The study employs a mixed-methods approach, combining quantitative and qualitative data collection methods such as structured online questionnaires (via Google Forms) and phone interviews. The findings show that, while AI tools such as ChatGPT, Grammarly, and data analysis software improve research efficiency and accuracy, significant barriers remain, including ethical concerns (e.g., bias, privacy, and plagiarism), limited resource access, and insufficient training. The study’s findings also stress the urgent need for ethical guidelines, institutional policy reforms, and targeted training programs to address these issues. By providing practical recommendations that can help in bridging gaps in technological adoption while upholding ethical and cultural values, this study contributes to the global debate on artificial intelligence in higher education.