Date
Publisher
arXiv
The recent high performance of ChatGPT on several standardized academic tests
has thrust the topic of artificial intelligence (AI) into the mainstream
conversation about the future of education. As deep learning is poised to shift
the teaching paradigm, it is essential to have a clear understanding of its
effects on the current education system to ensure sustainable development and
deployment of AI-driven technologies at schools and universities. This research
aims to investigate the potential impact of AI on education through review and
analysis of the existing literature across three major axes: applications,
advantages, and challenges. Our review focuses on the use of artificial
intelligence in collaborative teacher--student learning, intelligent tutoring
systems, automated assessment, and personalized learning. We also report on the
potential negative aspects, ethical issues, and possible future routes for AI
implementation in education. Ultimately, we find that the only way forward is
to embrace the new technology, while implementing guardrails to prevent its
abuse.
What is the application?
Who age?
Why use AI?
Study design
