Abstract
This paper explores the application of AI in technical education. Descriptive survey study was adopted for the study. The population for the study was 150 technical education students and 10 instructors across three institutions that offer NCE (Technical) in Kano State. The instrument for data collection was structured questionnaire developed by the researcher based on literature. The instrument was validated by three experts. Twenty copies of the instrument were trial tested. Cronbach alpha reliability coefficient of 0.81 was realized. The researchers with help of three research assistants administered the instrument. Mean and standard deviation were used to answer the research questions. T-test was used to answer the hypotheses at 0.05 level of significance. The study found that AI tools improved students' performance enhanced engagement, and reduced instructor workload AI can provide insights into the strengths and weaknesses of each student, allowing educators to adapt their teaching methods accordingly. The study recommended teachers to adapt more self-directed in learning with personalized approaches; Colleges to accept personalized learning that improve job readiness; Teacher to create more diverse content types with AI; Government to support AI integration in teaching/learning and Virtual tutoring to form part of student interest in the TVET course.
Keywords: Artificial Intelligence (AI), Adaptive Learning,
Publication Date: 2026-09-15