Enhancing Practical Design Skills Using AI-Powered Graphic Design Platforms: A Pedagogical Framework for Beginner Learners

The integration of artificial intelligence (AI) tools into graphic design education has gained attention as a means to simplify skill acquisition for beginners. Traditional graphic design tools often present steep learning curves, making it difficult for novice learners to acquire practical skills without extensive technical expertise. This paper proposes the IIH-AILP Model, a structured pedagogical framework designed to leverage AI-powered platforms such as Canva and Adobe Firefly to improve accessibility, inclusivity, and efficiency in graphic design education. The methodology employs a 12-week intervention with a mix of sequential and integrated components, including pre- and post-assessments, modular learning, skill progression, gamified engagement, and comparative evaluations. Participants’ design abilities were assessed across creativity, task completion time, and learning curve improvements using carefully designed evaluation metrics. The results demonstrate that the IIH-AILP model significantly reduces the learning curve, enhances creativity, and improves task efficiency, confirming the potential of AI-powered graphic design platforms to streamline education for beginners with little to no technical expertise.