NATURAL LANGUAGE PROCESSORS: CHATGPT IN THE PERSONALIZATION OF LEARNING
Keywords:
NLP, ChatGPT, AI, Learning Personalization, LLM, Natural Language Processing, Large Language ModelAbstract
In a world of constant technological evolution, artificial intelligence (AI) stands out as a beacon of innovation. From creating images from text to the ability to replicate celebrity voices using AI-based speech synthesizers, AI has proven its versatility and adaptability in a wide range of applications. This article explores the impact of AI, with a particular focus on Natural Language Processing (NLP), in transforming education by enabling personalization of learning, and discusses the ethical challenges related to AI in education. and how these advances are changing traditional teaching and assessment methods. The article also presents examples of notable NLP-based platforms, such as ChatGPT, and how they are being used to drive effectiveness and personalization in education, and addresses key topics such as AI literacy, critical thinking, and integrity. academic. Despite the challenges, the potential for AI to revolutionize education is undeniable, underscoring the importance of combining technological innovation with a deep understanding of the needs of students in the 21st century.
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References
Bernabei, M., Colabianchi, S., Falegnami, A., & Costantino, F. (2023). Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances. Computers and Education: Artificial Intelligence, 100172. https://doi.org/10.1016/j.caeai.2023.100172
Dai, Y., Liu, A., & Lim, C. P. (2023). Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education. Procedia CIRP, 119, 84–90. https://doi.org/10.1016/j.procir.2023.05.002
Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13(100060). https://doi.org/10.1016/j.jrt.2023.100060
Gill, S. S., Xu, M., Patros, P., Wu, H., Kaur, R., Kaur, K., Fuller, S., Singh, M., Arora, P., Parlikad, A. K., Stankovski, V., Abraham, A., Ghosh, S. K., Lutfiyya, H., Kanhere, S. S., Bahsoon, R., Rana, O., Dustdar, S., Sakellariou, R., . . . Buyya, R. (2024). Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots. Internet of Things and Cyber-Physical Systems, 4, 19–23. https://doi.org/10.1016/j.iotcps.2023.06.002
Lareyre, F., Nasr, B., Chaudhuri, A., Di Lorenzo, G., Carlier, M., & Raffort, J. (2023). Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery. EJVES Vascular Forum, 60, 57–63. https://doi.org/10.1016/j.ejvsvf.2023.09.002
