mlsanityData to 7 Oct 2026

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring

arXiv 2403.14642 ↗First posted 21 Feb 2024cs.CY cs.AI cs.LGcited by 3

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Abstract (arXiv)

Generative AI is expected to have a vast, positive impact on education; however, at present, this potential has not yet been demonstrated at scale at university level. In this study, we present first evidence that generative AI can increase the speed of learning substantially in university students. We tested whether using the AI-powered teaching assistant Syntea affected the speed of learning of hundreds of distance learning students across more than 40 courses at the IU International University of Applied Sciences. Our analysis suggests that using Syntea reduced their study time substantially--by about 27% on average--in the third month after the release of Syntea. Taken together, the magnitude of the effect and the scalability of the approach implicate generative AI as a key lever to significantly improve and accelerate learning by personalisation.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 2 of its 7 references that are in the map. First posted on arXiv 21 Feb 2024.

Builds on

2 of 7 references.

References · 2

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2023Large Language Models for Education: Grading Open-Ended Questions Using ChatGPTcited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.