2025
ACL
ACL 2025
Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward
Abstract
AbstractThis 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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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Interdisciplinary and Natural Language Processing
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Keyword Pioneer
— artificial intelligence in education
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio