This study examined the effect of AI-assisted design instruction using Canva on undergraduate visual arts students’ knowledge and creativity in graphics design in Lagos State-owned universities, Nigeria. Guided by Constructivist Learning Theory, the study emphasized active, student-centered learning through interactive and practice-based design tasks. A quasi-experimental, non-randomized pretest–posttest control group design was adopted. The sample comprised 300-level visual arts students from Lagos State University (experimental group) and Lagos State University of Education (control group). The experimental group received AI-assisted instruction using Canva, while the control group was taught using CorelDRAW. Data were collected using two validated instruments: Design Knowledge Test in Graphics Design (DKGD, r = .86) and Creativity Test in Graphics Design (CTGD, r = .75). Data analysis was conducted using Multivariate Analysis of Covariance (MANCOVA) at a 0.05 level of significance. Findings revealed a statistically significant effect of instructional method on students’ design knowledge (F(1, 62) = 26.60, p < .05, η² = .30) and creativity (F(1, 62) = 52.73, p< .05, η² = .46), indicating large effect sizes in favour of the AI-assisted Canva approach. Additionally, digital access significantly influenced design knowledge (F(1, 62) = 11.61, p < .05, η² = .16) and creativity (F(1, 62) = 15.67, p < .05, η² = .20), demonstrating moderate effects. The study concluded that AI-driven instructional approaches using Canva significantly enhance students’ learning outcomes compared to conventional methods. It further established digital access as a major factor in shaping both knowledge acquisition and creative performance. The study therefore recommended the integration of AI-assisted tools into university curricula, capacity building for educators, and improved digital infrastructure to support equitable and effective learning.
Akindoju et al. (Sun,) studied this question.