paper-with-me

홈 › Papers

Developing a General Personal Tutor for Education

2025-12-04 · Jaan Aru, Kristjan-Julius Laak 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.

📄 PDF Abstract BibTeX arXiv:2512.04869

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors

2026-01-13 · Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin 외 arxiv

Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, and mismatches can be counterproductive t…

LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

2023-10-08 · Jieun Han, Haneul Yoo, Junho Myung, Minsun Kim 외

In the context of English as a Foreign Language (EFL) writing education, LLM-as-a-tutor can assist students by providing real-time feedback on their essays. However, challenges arise in assessing LLM-as-a-tutor due to di…

Automated Essay Scoring

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

2024-05-21 · Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick 외

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to off…

DeepTutor: Towards Agentic Personalized Tutoring

2026-04-10 · Bingxi Zhao, Jiahao Zhang, Xubin Ren, Zirui Guo 외 arxiv

Education is one of the most promising real-world applications for Large Language Models (LLMs). However, current LLMs rely on static pre-training knowledge and lack adaptation to individual learners, while existing RAG …

Question Generation

Ontology-driven Reinforcement Learning for Personalized Student Support

2024-07-14 · Ryan Hare, Ying Tang

In the search for more effective education, there is a widespread effort to develop better approaches to personalize student education. Unassisted, educators often do not have time or resources to personally support ever…

Multi-agent Reinforcement Learningreinforcement-learningReinforcement Learning