mlsanityData to 14 Oct 2026

ChatGPT and Beyond: The Generative AI Revolution in Education

arXiv 2311.15198 ↗First posted 26 Nov 2023cs.CY cs.AI cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

The wide adoption and usage of generative artificial intelligence (AI) models, particularly ChatGPT, has sparked a surge in research exploring their potential applications in the educational landscape. This survey examines academic literature published between November, 2022, and July, 2023, specifically targeting high-impact research from Scopus-indexed Q1 and Q2 journals. This survey delves into the practical applications and implications of generative AI models across a diverse range of educational contexts. Through a comprehensive and rigorous evaluation of recent academic literature, this survey seeks to illuminate the evolving role of generative AI models, particularly ChatGPT, in education. By shedding light on the potential benefits, challenges, and emerging trends in this dynamic field, the survey endeavors to contribute to the understanding of the nexus between artificial intelligence and education. The findings of this review will empower educators, researchers, and policymakers to make informed decisions about the integration of AI technologies into learning environments.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 11 of its 60 references that are in the map. First posted on arXiv 26 Nov 2023.

Builds on

11 of 60 references.

References · 11

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  5. 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
  6. 2017Deep reinforcement learning from human preferencescited by 3,912
  7. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  8. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  9. 2022Text and Code Embeddings by Contrastive Pre-Trainingcited by 361
  10. 2023A Comprehensive AI Policy Education Framework for University Teaching and Learningcited by 34
  11. 2022Risk management in the Artificial Intelligence Actcited by 16

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Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.