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Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward
Chowdhury, Sankalan Pal Daheim, Nico Kochmar, Ekaterina Macina, Jakub Rooein, Donya Sachan, Mrinmaya Sonkar, Shashank
Chowdhury, Sankalan Pal
Daheim, Nico
Kochmar, Ekaterina
Macina, Jakub
Rooein, Donya
Sachan, Mrinmaya
Sonkar, Shashank
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2025.bea-1.1.pdf
Adobe PDF, 129.56 KB
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Natural Language Processing
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Workshop
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http://creativecommons.org/licenses/by/4.0/
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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.
Citation
S.P. Chowdhury, N. Daheim, E. Kochmar, J. Macina, D. Rooein, M. Sachan, S. Sonkar, "Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward," 2025, pp. 1-10.
Source
PROCEEDINGS OF THE 20TH WORKSHOP ON INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS, BEA 2025
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Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
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Source
Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
Publisher
Association for Computational Linguistics