Artificial Intelligence in University Education: Exploring the Attitudes of Science Education Students in Makurdi, Nigeria
The study investigated Artificial Intelligence in University Education: Exploring the Attitudes of Science Education Students in Makurdi, Nigeria. The study employed a descriptive survey research design. The population comprised 670 (374 males and 296 females) 400-level science education students of Rev. Fr. Moses Orshio Adasu University and Joseph Sarwuan Tarka University for the 2025/2026 academic session. A sample size of 237 (102 males and 135 females) students was selected using purposive sampling technique…

In brief
A descriptive survey measured how 400-level science education students at two universities in Makurdi, Nigeria, view AI in higher education. Using a purposive sample of 237 students and a questionnaire with a reliability coefficient of 0.85, the researchers found a positive overall attitude and a moderate perception of integration.
The results suggest students are broadly receptive to AI on campus, which matters for institutions planning adoption. The authors say effective implementation still depends on infrastructure, institutional support, and training. The study measures attitudes rather than learning outcomes, so the educational effects of AI use remain untested.
Main points
- The population was 670 final-year science education students, and 237 were sampled using purposive sampling.
- The attitude cluster mean was 3.14, indicating a positive attitude toward AI integration.
- Perception of AI integration was moderate, with a cluster mean of 2.98.
- An independent t-test at the 0.05 level found no significant male-female difference in attitudes.
The gain
Final-year science education students at two Makurdi universities reported positive attitudes toward AI integration, with no significant gender difference in those attitudes.
The rundown
The study used a descriptive survey design with students from Rev. Fr. Moses Orshio Adasu University and Joseph Sarwuan Tarka University for the 2025/2026 academic session. The sample included 102 males and 135 females.
Data came from the Students' Attitude toward Artificial Intelligence Integration Questionnaire, validated by two science education experts. Reliability was checked with Cronbach's Alpha, giving 0.85.
Two research questions were answered with means and standard deviations, and one hypothesis was tested with an independent t-test. The authors concluded that students generally accept AI use in university and that adequate infrastructure, institutional support, and training are needed.
Sources
- Peer-reviewedInternational Journal of Innovative Research in Multidisciplinary Education2026-10-19
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The debate