Gerteis, Christopher (2024) Reimagining History Learning: How AI could Empower Historians. London and Minneapolis: Past Meets Pixel@Substack.
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Abstract
Artificial Intelligence (AI) technologies offer the opportunity to reimagine how history is learned. These tools have the potential to empower non-technical historians to create engaging and personalized learning environments. Yet, the field remains largely undeveloped due to accessibility, usability, and ethical challenges. Despite significant technological advancements, historians without technical expertise face barriers that prevent them from fully leveraging AI. This creates a gap between the potential of these innovations and their practical application in classrooms. This essay explores how Natural Language Processing (NLP) tools and platforms could enable historians to leverage AI-driven learning tools without requiring deep technical expertise.
| Item Type: | Monographs and Working Papers (Discussion Paper) |
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| SOAS Departments & Centres: | Departments and Subunits > Department of East Asian Languages & Cultures |
| Date Deposited: | 27 Jan 2025 09:15 |
| URI: | https://eprints.soas.ac.uk/id/eprint/43322 |
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