Article: STEAM art course design combining generative AI and prompt engineering Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.64 pp.23 - 45 Abstract: This study proposes a dual-driven STEAM art course framework integrating generative AI and prompt engineering to address key challenges in creativity support, personalisation, and AI tool integration. A four-layer topology aligns course goals, content, interaction, and evaluation, combining generative AI's creative abilities with prompt engineering's precision. Hierarchical prompt strategies enable stepwise creative guidance, while a course-AI feedback loop adapts to learner needs. A multidimensional evaluation system assesses creative expression, skill development, and thinking growth. Results show a 42.3% increase in creative work scores, 91.7% skill proficiency, 4.8 satisfaction (out of 5), and 35.6% higher teaching efficiency. Personalised teaching coverage rose from 38% to 89%. The framework performs effectively across diverse age groups and skill levels, offering a scalable path for intelligent art education in K-12 and training contexts. Inderscience Publishers - linking academia, business and industry through research

Title: STEAM art course design combining generative AI and prompt engineering

Authors: Jie Shi; Yikun Li

Addresses: Art College, Weinan Normal University, Weinan 714099, China ' Art College, Weinan Normal University, Weinan 714099, China

Abstract: This study proposes a dual-driven STEAM art course framework integrating generative AI and prompt engineering to address key challenges in creativity support, personalisation, and AI tool integration. A four-layer topology aligns course goals, content, interaction, and evaluation, combining generative AI's creative abilities with prompt engineering's precision. Hierarchical prompt strategies enable stepwise creative guidance, while a course-AI feedback loop adapts to learner needs. A multidimensional evaluation system assesses creative expression, skill development, and thinking growth. Results show a 42.3% increase in creative work scores, 91.7% skill proficiency, 4.8 satisfaction (out of 5), and 35.6% higher teaching efficiency. Personalised teaching coverage rose from 38% to 89%. The framework performs effectively across diverse age groups and skill levels, offering a scalable path for intelligent art education in K-12 and training contexts.

Keywords: STEAM art course; generative AI; prompt engineering; course design; creative cultivation.

DOI: 10.1504/IJICT.2026.154111

International Journal of Information and Communication Technology, 2026 Vol.27 No.64, pp.23 - 45

Received: 16 Dec 2025
Accepted: 06 Feb 2026
Published online: 12 Jun 2026 *

Title: STEAM art course design combining generative AI and prompt engineering

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