Digital learning research
Publication Date
1-27-2025
Subjects
artificial intelligence, frameworks, literature reviews, education technology, ICT in education,
Abstract
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance wellbeing and social interaction; Train for AI literacy; and Harness AI ethically. Practical examples of AI applications are provided to highlight not only the diverse types of education-specific AI systems but also how generative AI can be employed to support teaching and learning. From adaptive learning platforms to AI-driven content creation, the possibilities are vast, but they also require thoughtful implementation aligned with the PATH principles and awareness of challenges.
Recommended Citation
Brazil, J., Yang, S., & van der Kleij, F. (2025). AI systems in teaching and learning: Principles and practical examples. Building a PATH forward. Australian Council for Educational Research. https://doi.org/10.37517/978-1-74286-785-4
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Copyright Statement
The Australian Council for Educational Research Ltd © 2025
With the exception of any material protected by a trademark, and where otherwise noted, all material presented in this document is provided under a Creative Commons Attribution NonCommercial NoDerivatives 4.0 International licence.
Place of Publication
Camberwell, Australia
Publisher
Australian Council for Educational Research
ISBN
978-1-74286-785-4
DOI
https://doi.org/10.37517/978-1-74286-785-4
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Technology Commons
