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As generative AI (GenAI) tools such as ChatGPT, DALL·E, and MidJourney become increasingly integrated into education, understanding how to use them effectively has become a pressing concern. Recent research underscores the crucial role of prompting techniques in enhancing learning outcomes. Drawing from three key studies—Tang et al. (2025), Hutson and Cotroneo (2023), and Adetayo (2024)—this article explores how prompt design and iterative engagement with GenAI can foster deeper learning, creativity, and digital literacy in educational contexts.

1. The Role of AI Literacy in Prompting Effectiveness

Tang, Zhang, and Zhou (2025) highlight that AI literacy is foundational to successful prompting. Their study shows that students with a higher understanding of how GenAI systems operate are more capable of crafting effective prompts, leading to more relevant and accurate AI-generated outputs. This AI literacy includes understanding the logic of input-output processes, recognizing AI limitations, and being able to refine questions based on feedback. Tang et al. argue that cultivating these skills helps students move beyond surface-level queries and toward more sophisticated problem-solving and critical thinking tasks.

Embedding AI literacy into curricula enables students to engage with GenAI tools more effectively, turning them into active co-creators rather than passive consumers of AI output.

2. Prompt Engineering and Iterative Creativity in Art Education

In their qualitative exploration, Hutson and Cotroneo (2023) analyze how students in art education use prompt engineering and iterative refinement with GenAI platforms like MidJourney. They found that iterative prompting—where students continually adjust and refine their queries—encourages a process of exploration, reflection, and creative experimentation. This mirrors traditional artistic workflows but is enhanced by the rapid feedback loop that GenAI provides. Importantly, the authors note that learning happens not from the first prompt, but from the sequence of revisions and insights that emerge through the iterative process.

Encouraging students to iteratively revise their prompts fosters metacognitive awareness and deepens creative engagement, making GenAI a powerful tool for artistic and conceptual development.

3. Reimagining Learning Spaces with AI Art Tools

Adetayo (2024) shifts the lens to libraries and broader educational environments, demonstrating how platforms like DALL·E can transform student engagement with visual content. He emphasizes that prompting can be a democratizing tool, enabling learners from diverse backgrounds to visualize abstract concepts, develop digital storytelling skills, and express ideas in multimodal formats. Adetayo suggests that prompt-based exploration supports personalized and inclusive learning, particularly when educators scaffold the process by teaching prompt formulation strategies.

AI-generated imagery through thoughtful prompting can enrich multimodal learning, making abstract or complex ideas more tangible and accessible.

Conclusion: Designing for Prompt-Driven Learning

The convergence of findings across these three studies suggests that effective prompting is not merely a technical skill, but a pedagogical strategy. Whether in STEM or the arts, prompting empowers learners to shape the learning experience, think critically, and express themselves more effectively.

To integrate these insights into educational practice, educators can:

• Teach basic AI literacy and model effective prompt creation.
• Incorporate iterative prompting tasks that encourage trial, feedback, and refinement.
• Use GenAI tools to support differentiated instruction and multimodal learning experiences.

By embedding prompting techniques into curricula and pedagogy, educators can unlock the full potential of GenAI to support creativity, critical thinking, and learner agency in the classroom.