The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research.
By Tariq Alqahtani, H. Badreldin, Mohammed A. Alrashed, Abdulrahman I. Alshaya, S. Alghamdi, Khalid Bin saleh, Shuroug A. Alowais, Omar A. Alshaya, I. Rahman, Majed S. Al Yami and 1 more. Research in Social and Administrative Pharmacy, 2023
455 citations recorded by the source corpus.
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.
Subfields: Health Informatics
View Paper: https://www.semanticscholar.org/paper/c44763df0d165e3fef6acbaf729f625704a427d3
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In Health Informatics
Citations in the corpus
- Impact of AI assistance on student agency (2023, background): “…ways, including generating text for assignments and exams, answering questions, and providing teaching support; however, they have also raised critical questions about their integration into teaching and assessment practices (Yan et al., 2023; Alqahtani et al., 2023; Arachchige & Arosh, 2023).”
- Revolutionizing healthcare: the role of artificial intelligence in clinical practice (2023, background): “…and proceeds to the continuous development and improvement for the practitioners working in the current practice to ensure the proper adaptation which provides the best patient care and avoid any legal or ethical issues or misinterpretation of the outcomes without verifying the results [117].”
- PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented Generation (2024, unknown): “In the context of literature reviews, this means that RAG models can access and incorporate the latest research findings, methodologies, and insights from a wide range of sources, ensuring that the generated output is informed by the most current and reliable evidence 17 .”