New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calong, Ikhlaas Gurrib
TL;DR
The paper surveys how AI, especially NLP systems like ChatGPT, can transform education by personalizing learning, enabling intelligent tutoring, automating assessment, and enhancing teacher‑student collaboration. It uses a scoping review of 44 English‑language sources from 2019–2023 under Arksey and PRISMA‑SCr frameworks to map applications, advantages, and challenges. Key contributions include synthesizing evidence on improved learning outcomes, efficiency gains, and global access, while highlighting data privacy, bias, plagiarism, and shifts in classroom dynamics. The authors advocate embracing AI with guardrails and AI literacy to ensure ethical, equitable, and sustainable deployment in schools and universities.
Abstract
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.