Department of Pharmaceutical Sciences, College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Department of Pharmacy Practice, College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Pharmaceutical Care Department, King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Res Social Adm Pharm. 2023 Aug;19(8):1236-1242. doi: 10.1016/j.sapharm.2023.05.016. Epub 2023 Jun 4.
Artificial Intelligence (AI) has revolutionized various domains, including education and research. Natural language processing (NLP) techniques and large language models (LLMs) such as GPT-4 and BARD have significantly advanced our comprehension and application of AI in these fields. This paper provides an in-depth introduction to AI, NLP, and LLMs, discussing their potential impact on education and research. By exploring the advantages, challenges, and innovative applications of these technologies, this review gives educators, researchers, students, and readers a comprehensive view of how AI could shape educational and research practices in the future, ultimately leading to improved outcomes. Key applications discussed in the field of research include text generation, data analysis and interpretation, literature review, formatting and editing, and peer review. AI applications in academics and education include educational support and constructive feedback, assessment, grading, tailored curricula, personalized career guidance, and mental health support. Addressing the challenges associated with these technologies, such as ethical concerns and algorithmic biases, is essential for maximizing their potential to improve education and research outcomes. Ultimately, the paper aims to contribute to the ongoing discussion about the role of AI in education and research and highlight its potential to lead to better outcomes for students, educators, and researchers.
人工智能（AI）已经彻底改变了包括教育和研究在内的各个领域。自然语言处理（NLP）技术和大型语言模型（LLMs），如 GPT-4 和 BARD，极大地提高了我们对这些领域中 AI 的理解和应用。本文深入介绍了 AI、NLP 和 LLM，讨论了它们对教育和研究的潜在影响。通过探讨这些技术的优势、挑战和创新应用，本综述为教育工作者、研究人员、学生和读者提供了全面的视角，了解 AI 如何塑造未来的教育和研究实践，最终带来更好的结果。在研究领域中讨论的关键应用包括文本生成、数据分析和解释、文献综述、格式和编辑以及同行评审。AI 在学术界和教育中的应用包括教育支持和建设性反馈、评估、评分、定制课程、个性化职业指导和心理健康支持。解决这些技术相关的挑战，如道德问题和算法偏见，对于最大限度地发挥其潜力以改善教育和研究成果至关重要。最终，本文旨在为有关 AI 在教育和研究中的作用的持续讨论做出贡献，并强调其为学生、教育者和研究人员带来更好结果的潜力。
