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Leveraging Natural Language Processing in Practical Skills Education and Training
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Author(s): Barno Matchanova (Urgench State Pedagogical Institute, Uzbekistan), Zilolakhon Ruzmetova (Mamun University, Uzbekistan), Rayhon Sapaeva (Urgench State University, Uzbekistan)and Munir Ahmad (Survey of Pakistan, Pakistan)
Copyright: 2026
Pages: 28
Source title:
AI-Powered Cognitive Tutors and the New Frontier of Personalized Learning
Source Author(s)/Editor(s): Samra Maqbool (Beijing Normal University, China), Hafiz Muhammad Ihsan Zafeer (Zhejiang Normal University, China)and Ayesha Tariq (The Islamia University of Bahawalpur, Pakistan)
DOI: 10.4018/979-8-3373-4217-7.ch001
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Abstract
This chapter explores the transformative role of Natural Language Processing (NLP) in skill-based education and training, emphasizing personalized, adaptive, and competency-focused learning. It examines emerging trends such as multimodal NLP, AI-powered coaching, and adaptive microlearning, which enhance engagement, provide real-time feedback, and support scalable learning environments. The chapter highlights opportunities for data-driven assessment, interactive practice, and tailored instruction while addressing challenges related to language diversity, contextual understanding, ethical design, and data privacy. Recommendations for educators and developers emphasize the responsible and effective use of NLP's educational impact.
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