Natural Language Processing for Agriculture-Based Industrial Skills Development in Polytechnics

Abstract

Machines are created to execute tasks naturally required to be done by the natural intelligence of human, this is known as Artificial Intelligence (AI). Using generative AI in TVET (Technical and Vocational Education and Training) promotes lifelong learning and digital literacy. However little research has been done on how Nigerian agriculture students use Natural Language Processing (NLP) AI tools like ChatGPT, Meta AI and DeepSeek. This study looked at the social-demographic of Agric-based students, usage patterns effects and difficulties of NLP AI tools among Nigerian polytechnic students enrolled in agriculture-related programs. Data were gathered from 300 students using structured questionnaires and a descriptive quantitative design. The results showed that 50% had a National Diploma 2 and 43% were between the ages of 20 and 22. Research (60%) assignments (30%) and learning (30%) were the main uses of NLP tools with ChatGPT (35%) and Meta AI (56%) being the most popular. Significant gains in comprehension (88.70%) application (93.20%) and problem-solving abilities (76.60%) associated with agricultural capabilities were reported by respondents. Students faced obstacles like restricted access technical problems and trouble understanding AI-generated content in spite of these advantages. If inclusive access and usability are improved the results demonstrate the revolutionary potential of AI in agricultural TVET. It is advised that Nigerian agricultural sector especially in polytechnic education benefit from the strategic application of NLP AI tools.

Ähnliche Arbeiten