A.I. Adaptive Learning Environment
Keywords:
Personalized learning, AI-assisted learning, Adaptive learning, AI learning environmentAbstract
This new system of learning aims to revolutionize and personalize learning, by developing a new-age learning environment. The advent of artificial technology has revolutionized many industries and this application plans to bring a disruption to learning. AI algorithms can analyze vast amounts of data to tailor learning experiences catering to individual needs, preferences, and learning styles. In this new-age learning environment, you can personalize the tone, complexity, vocabulary, depth and language of the subject matter. This paper also contemplates the future of AI learning, the role of data science in the development of personalized learning and the merits of flexible learning.
References
OpenAI. (2024). ChatGPT (3.5) [Large language model]. https://chat.openai.com
Niemi, Hannele. "AI in Learning." Journal of Pacific Rim Psychology, 2021, https://doi.org/10.1177/18344909211038105
. Accessed 19 Feb. 2024.
https://www.sciencedirect.com/science/article/pii/S0742051X23004171?pes=vor
https://link.springer.com/chapter/10.1007/978-14614-3305-7_4
Stronova, J. A. (2002). Discovery learning for the 21st century: What is it and how does it compare to traditional learning ineffectiveness in the 21st century? Action Research Exchange, 1(1), 1–12.
Afini Normadhi, L. Shuib, H.N. Md Nasir, A. Bimba, N. Idris, V. Balakrishnan. (2019).
Aldowah, H., Al-Samarraie, H., & Fauzy, W.M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis.
Downloads
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.