New Era of Artificial Intelligence In Education: Towards A Sustainable Multifaceted Revolution

Authors

Firuz Kamalov,

David Santandreu Calonge,

Ikhlaas Gurrib

Date

10/2023

Publisher

arXiv

Link

http://arxiv.org/pdf/2305.18303v2

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.

Study at a glance

Question: What are the applications, benefits, and challenges of using artificial intelligence in education?
Setting and data: Not stated in the abstract
Method: Literature review

Why it matters

As deep learning is poised to shift the teaching paradigm, a clear understanding of its effects on the current education system is essential to ensure sustainable development and deployment of AI-driven technologies at schools and universities.

Key findings

Across the literature reviewed for schools and universities, embracing artificial intelligence while implementing guardrails to prevent abuse is the only viable path forward.
ChatGPT achieved high performance on several standardized academic tests, demonstrating deep learning's potential to shift traditional teaching paradigms.
Across the studies reviewed, artificial intelligence primarily supports collaborative teacher-student learning, intelligent tutoring systems, automated assessment, and personalized learning.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

What is the application?

Teaching – Instructional Materials,

Teaching – Assessment and Feedback,

Learning – Student Support,

Communicating / Social Tools,

Organizing,

Analyzing

Who is the user?

Student,

Educator

Who age?