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Leveraging Natural Language Processing in Practical Skills Education and Training

Barno MatchanovaUrgench State Pedagogical Institute, UzbekistanZilolakhon RuzmetovaRayhon SapaevaUrgench State University, UzbekistanMunir AhmadSurvey of Pakistan, Pakistan

Advances in computational intelligence and robotics book seriesbook series2025

ABI

Annotatsiya

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.

Mavzular

Intelligent Tutoring Systems and Adaptive Learning Online Learning and Analytics Artificial Intelligence in Healthcare and Education

Identifikatorlar

DOI: 10.4018/979-8-3373-4217-7.ch001

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