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The research aims to reform NLP curricula in application-oriented undergraduate institutions to better meet industry needs.

February 9, 2026Open Access

Research on Teaching Reform of Natural Language Processing Courses in Application-Oriented Undergraduate Institutions

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The research aims to reform NLP curricula in application-oriented undergraduate institutions to better meet industry needs.
Proposed a four-phase teaching framework including rule-driven methods, statistical learning, deep learning, and large model applications.
Integrated fundamental theories, practical experiments, and engineering skills into the curriculum.
Facilitated project-based learning and case-driven methodologies to enhance student engagement.
Designed experimental sessions that consider varying student proficiencies and computing requirements.
Outlined reform objectives to develop generative applications and lightweight deployment experiments.
Highlighted the importance of security and ethics education regarding large models.
Proposed continuous evaluation mechanisms to improve students' literacy and practical skills in NLP.

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Proposes a teaching framework to enhance NLP education in application-oriented institutions, suggesting practical improvements.

Zhengjie Gao (2025) studied this question.

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