Implications of artificial intelligence in learning and education
- Submission status
- Open
- Submission deadline
Artificial Intelligence (AI) has the potential to revolutionize learning and teaching, introducing a new and unfamiliar type of learner. Such technology is fundamentally a tool for our disposal, and like any tool, we must understand how it works and how best to deploy it.
This special Collection in npj Science of Learning invites research on the functional operation and capability of modern AI, and the consequent implications of its use as a technology to enhance learning and pedagogy. We particularly welcome articles that examine AI's strengths, weaknesses and opportunities in teaching and learning, and those that address ethical, societal, and broader educational considerations associated with its implementation.
We will consider theoretical work and review papers, and give highest priority to empirical studies on human-AI interaction. We will not consider work focused only on AI, e.g; algoritm analysis. Please see here for guidance.
Editors
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Benjamin Ultan Cowley
Faculty of Educational Sciences, University of Helsinki, Finland.
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Darryl Charles
Senior Lecturer in Games Design, School of Arts & Humanities, Faculty of Arts, Humanities & Social Sciences, Ulster University, Northern Ireland
All articles have undergone npj Science of Learning's standard peer review process and have been subject to all the journal’s standard policies. This includes the journal’s policy on competing interests. The Editors declare no competing interests with the submissions which they have handled through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.
If accepted for publication, an article processing charge applies (with standard waiver policy). If your institution or country has an open access agreement with Springer Nature, you may publish your article OA at no cost or in some cases with the costs partially funded (see details here).
All Collections are open for submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of npj Science of Learning more generally.
Manuscripts submitted to an open Collection may be considered unsuitable for inclusion, particularly if they fall outside the scope of the Collection. In such cases, the authors will be notified by the editorial office and their manuscript can be considered as a regular npj Science of Learning submission.
npj Science of Learning's in-house editors reserve the right to assume responsibility for the management of a Collection at any stage.
