AI Principles in Practice with a Learning Engineering Framework

Rachel Van Campenhout, Nick Brown, Benny Johnson

2025

Abstract

With the explosion of generative AI, rapid innovation in educational technology can lead to extraordinary advances for teaching and learning—as well AI tools that are ineffective or even harmful to learning. AI should be used responsibly, yet defining responsible AI principles in an educational technology context and how to put those principles into practice is an evolving challenge. Broad AI principles such as transparency, accountability, and human oversight should be paired with education-specific values. In this paper, we discuss the development of AI principles and how to put those principles in practice using learning engineering as a framework, providing examples of the application of responsible AI principles in the context of developing AI-generated questions and feedback. Frameworks to support the rapid development of innovative technology—and the responsible use of AI—are necessary to ground learning tools’ efficacy and ensure their benefit for learners.

Paper Citation

in Harvard Style

Van Campenhout R., Brown N. and Johnson B. (2025). AI Principles in Practice with a Learning Engineering Framework. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 312-318. DOI: 10.5220/0013358600003932

in Bibtex Style

@conference{csedu25,
author={Rachel Van Campenhout and Nick Brown and Benny Johnson},
title={AI Principles in Practice with a Learning Engineering Framework},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={312-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013358600003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - AI Principles in Practice with a Learning Engineering Framework
SN - 978-989-758-746-7
AU - Van Campenhout R.
AU - Brown N.
AU - Johnson B.
PY - 2025
SP - 312
EP - 318
DO - 10.5220/0013358600003932
PB - SciTePress