Developing a General Personal Tutor for Education

TL;DR

This paper explores the potential of large language models to serve as universal AI tutors, addressing practical challenges and scientific gaps in creating an effective nationwide educational assistant.

Contribution

It provides an overview of the key issues and scientific questions involved in developing a general AI tutor using LLMs for nationwide education.

Findings

Identifies practical challenges in deploying AI tutors at scale.

Highlights scientific gaps in understanding learning processes with AI.

Discusses potential of LLMs to revolutionize personalized education.

Abstract

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.