Artificial Intelligence Towards Enhancing Technical and Managerial Entrepreneurial Skills among Mechanical Technology Education Students at Colleges of Education Technical in Nigeria

Abstract

The paper considers using artificial intelligence towards enhancing entrepreneurial skills among mechanical technology education students at colleges of education technical in Nigeria. Two research questions were raised. The research design was cross-sectional survey. The area of the study was North East Nigeria. The study population was 175 respondents included 25 Lecturers, 10 Technologies, and 80 NCE III students and 60 industrial staff. Multi stage sampling technique was used. The study stratified the participants (stratum), using simple random sampling 152 participants were selected. The instrument used for data collection was questionnaire which was validated by two experts in the field of research. The reliability coefficient of the instrument was 0.80, using the Cronbach Alpha technique. The data collected was analyzed using (SPSS) version 23. Mean and standard deviation were used to answer the research questions, while Analysis of Variance (ANOVA) was used to test the Null Hypotheses at 0.05 level of significance. The findings of the study revealed that, there was high extent in developing technical skills when AI is use in Educational Institution (EI) & Mechanical Engineering Industry (MEI) particularly in developing the students’ ability of transferring measurement and marking out on work pieces and there was a statistically significant difference at the p < .05 level in their responses on the extent to which AI enhances technical skills for the four groups. The study recommend that, in response to the positive impact AI on technical skills, educational institutions should further integrate use of AI into their curriculum

Presenters

Yusuf Kwami Abdulkarim
Lecturer, Mechanical Technology, Faculty of Technology Education, Abubakar Tafawa Balewa University, Bauchi, Nigeria

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2026 Special Focus—Human-Centered AI Transformations

KEYWORDS

ARTIFICIAL lNTELLIGENCE, ENTREPRENEURIAL SKILLS