@inproceedings{pal-chowdhury-etal-2025-large,
title = "Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward",
author = "Pal Chowdhury, Sankalan and
Daheim, Nico and
Kochmar, Ekaterina and
Macina, Jakub and
Rooein, Donya and
Sachan, Mrinmaya and
Sonkar, Shashank",
editor = {Kochmar, Ekaterina and
Alhafni, Bashar and
Bexte, Marie and
Burstein, Jill and
Horbach, Andrea and
Laarmann-Quante, Ronja and
Tack, Ana{\"i}s and
Yaneva, Victoria and
Yuan, Zheng},
booktitle = "Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.bea-1.1/",
doi = "10.18653/v1/2025.bea-1.1",
pages = "1--10",
ISBN = "979-8-89176-270-1",
abstract = "This tutorial will aim to bridge the gap between NLP researchers and Artificial Intelligence in Education (AIED) practitioners to help participants understand the requirements and challenges of education, enabling them to develop LLMs that align with educational needs, and to enable educators to gain a deeper understanding of the capabilities and limitations of current NLP technologies, fostering effective integration of LLMs in educational contexts."
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%0 Conference Proceedings
%T Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward
%A Pal Chowdhury, Sankalan
%A Daheim, Nico
%A Kochmar, Ekaterina
%A Macina, Jakub
%A Rooein, Donya
%A Sachan, Mrinmaya
%A Sonkar, Shashank
%Y Kochmar, Ekaterina
%Y Alhafni, Bashar
%Y Bexte, Marie
%Y Burstein, Jill
%Y Horbach, Andrea
%Y Laarmann-Quante, Ronja
%Y Tack, Anaïs
%Y Yaneva, Victoria
%Y Yuan, Zheng
%S Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-270-1
%F pal-chowdhury-etal-2025-large
%X This tutorial will aim to bridge the gap between NLP researchers and Artificial Intelligence in Education (AIED) practitioners to help participants understand the requirements and challenges of education, enabling them to develop LLMs that align with educational needs, and to enable educators to gain a deeper understanding of the capabilities and limitations of current NLP technologies, fostering effective integration of LLMs in educational contexts.
%R 10.18653/v1/2025.bea-1.1
%U https://aclanthology.org/2025.bea-1.1/
%U https://doi.org/10.18653/v1/2025.bea-1.1
%P 1-10
Markdown (Informal)
[Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward](https://aclanthology.org/2025.bea-1.1/) (Pal Chowdhury et al., BEA 2025)
ACL
- Sankalan Pal Chowdhury, Nico Daheim, Ekaterina Kochmar, Jakub Macina, Donya Rooein, Mrinmaya Sachan, and Shashank Sonkar. 2025. Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward. In Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), pages 1–10, Vienna, Austria. Association for Computational Linguistics.