Quasi-experimental study demonstrates that Canva enhances design knowledge and creativity in visual arts students, suggesting a need for AI integration.
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.
No takes yet. Share an insight, caveat, or question.
Akindoju et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: