preprint · Preprints.org
This article explores the potential of artificial intelligence (AI) to transform the education sector and advance the concept of Education 6.0. It investigates how AI can facilitate personalised learning experiences and adaptive teaching methods. By examining recent advancements and existing applications of AI in education, the article provides insights into how AI can assist educators in customising instruction for individual student needs, boosting engagement, and improving learning results. Furthermore, it addresses the ethical concerns and challenges linked to integrating AI into education, highlighting the necessity for careful implementation and human oversight.
Understanding how AI can be used in education is important because it could lead to more effective and engaging learning for students. It also highlights the need to carefully consider the ethical implications and ensure human oversight as these technologies are adopted.
This research points towards the development of AI-powered tools and platforms for educators and students, aiming to enhance personalised learning and adaptive teaching. Potential users include educational institutions, technology providers, and individual teachers. The abstract discusses analysing "real-world applications," suggesting this is applied research informing the design and implementation of educational technology solutions, though specific products or market readiness levels are not detailed.
AI-generated from the published abstract. Always read the original work before citing.
This article aims to investigate the potential of artificial intelligence (AI) in revolutionizing the education sector and further advancing the vision of Education 6.0. This study explores how AI can foster personalized learning experiences and adaptive pedagogy. By analyzing recent developments and real-world applications of AI in education, this article offers insights into how AI can support educators in tailoring instruction to individual students' needs, promoting engagement, and optimizing learning outcomes. The article also discusses ethical considerations and challenges associated with the integration of AI in education, emphasizing the importance of responsible implementation and human supervision.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.20944/preprints202309.0562.v1
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
