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Mastering the Machine: How Prompt Engineering Transforms Generative AI Learning in Education

Year: 2025

Type: article

Abstract: This study explores how prompt engineering training influences student performance and adaptability when using Generative AI (GenAI) chatbots in education. Focusing on first-year engineering management students, we examine the impact of targeted instruction on learning outcomes, linking AI interaction to academic self-efficacy, goal orientation, self-monitoring, study skills, and technology engagement. Using a mixed-methods approach, results show that prompt engineering significantly enhances academic performance and critical engagement with AI tools. Findings highlight the importance of integrating AI literacy into curricula to maximize GenAI’s educational potential and prepare students for AI-driven professional environments.

Source: Journal of the Association for Information Systems

Authors: Perozzo, Haiat, Sengewald, Julian, Ravarini, Aurelio

Institutions: University Carlo Cattaneo, TU Dortmund University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6983406247

FWCI: 1.089

Cites:

Cited by: 1

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