# Developing a General Personal Tutor for Education

arXiv: https://arxiv.org/abs/2512.04869 · HTML: https://mlsanity.com/paper/2512.04869/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 16 references that are in the map.
- First posted on arXiv 4 Dec 2025.

## Builds on (most cited first, 4 of 4)

- [Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach](https://mlsanity.com/paper/2407.12687/) (2024)
- [Evaluating Gemini in an arena for learning](https://mlsanity.com/paper/2505.24477/) (2025)
- [The Interplay of Learning, Analytics, and Artificial Intelligence in Education: A Vision for Hybrid Intelligence](https://mlsanity.com/paper/2403.16081/) (2024)
- [AI and personalized learning: bridging the gap with modern educational goals](https://mlsanity.com/paper/2404.02798/) (2024)

## Abstract (arXiv)

The vision of a universal AI tutor has remained elusive, despite decades of effort. Could LLMs be the game-changer? We overview novel issues arising from developing a nationwide AI tutor. We highlight the practical questions that point to specific gaps in our scientific understanding of the learning process.