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HYPOTHESIS AND THEORY article

Front. Educ.
Sec. Digital Education
Volume 9 - 2024 | doi: 10.3389/feduc.2024.1366434
This article is part of the Research Topic Chatgpt and Other Generative AI Tools View all 14 articles

Prompt Engineering as a new XXI century skill

Provisionally accepted
  • 1 Department of Business and Economics Education, Johannes Gutenberg University Mainz, Mainz, Germany
  • 2 Department of Educational Science Methodology, Humboldt University of Berlin, Berlin, Baden-Wurttemberg, Germany

The final, formatted version of the article will be published soon.

    Artificial Intelligence (AI) promises to revolutionize nearly every aspect of human learning. However, users have observed that the efficacy of AI assistants hinges crucially on the quality of the prompts supplied to them. A slight alteration in wording can make the difference between an assistant misinterpreting an instruction and exceeding expectations. The skill of precisely communicating the essence of a problem to an AI assistant is as crucial as the assistant itself. This paper aims to introduce Prompt Engineering (PE) as an emerging skill essential for personal and professional learning and development in the 21st century. We define PE as the skill of articulating a problem, its context, and the constraints of the desired solution to an AI assistant, ensuring a swift and accurate response. We show that no existing related frameworks on 21st skills and others cover PE to the extent that allows for its valid assessment and targeted promotion in school and university education. Thus, we propose a conceptual framework for this skill set including (1) comprehension of the basic prompt structure, (2) prompt literacy, (3) the method of prompting, and (4) critical online reasoning. We also discuss the implications and challenges for the assessment framework of this skill set and highlight current PE-related recommendations for researchers and educators.

    Keywords: Prompt Engineering, artificial intelligence, XXI century skills, ChatGPT, Digital skills

    Received: 06 Jan 2024; Accepted: 08 Oct 2024.

    Copyright: © 2024 Federiakin, Molerov, Zlatkin-Troitschanskaia and Maur. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Denis Federiakin, Department of Business and Economics Education, Johannes Gutenberg University Mainz, Mainz, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.