Explainable Artificial Intelligence Approaches in Primary Education: A Review
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| Publicado en: | Electronics vol. 14, no. 11 (2025), p. 2279 |
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| Autor principal: | |
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| Publicado: |
MDPI AG
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| Resumen: | Artificial intelligence (AI) methods have been integrated in education during the last few decades. Interest in this integration has increased in recent years due to the popularity of AI. The use of explainable AI in educational settings is becoming a research trend. Explainable AI provides insight into the decisions made by AI, increases trust in AI, and enhances the effectiveness of the AI-supported processes. In this context, there is an increasing interest in the integration of AI, and specifically explainable AI, in the education of young children. This paper reviews research regarding explainable AI approaches in primary education in the context of teaching and learning. An exhaustive search using Google Scholar and Scopus was carried out to retrieve relevant work. After the application of exclusion criteria, twenty-three papers were included in the final list of reviewed papers. A categorization scheme for explainable AI approaches in primary education is outlined here. The main trends, tools, and findings in the reviewed papers are analyzed. To the best of the authors’ knowledge, there is no other published review on this topic. |
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| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics14112279 |
| Fuente: | Advanced Technologies & Aerospace Database |