# New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution

arXiv: https://arxiv.org/abs/2305.18303 · HTML: https://mlsanity.com/paper/2305.18303/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 May 2023.

## Built on by (most cited first, 20 of 20)

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- [The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching](https://mlsanity.com/paper/2509.00110/) (2025)
- [Evaluation of Large Language Models' educational feedback in Higher Education: potential, limitations and implications for educational practice](https://mlsanity.com/paper/2602.02519/) (2026)
- [Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments](https://mlsanity.com/paper/2605.05842/) (2026)

## Abstract (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.