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#explainable ai Dataset Open access

Dataset of Literature on Explainable Artificial Intelligence (XAI) in Education (2019–2026)

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

## Description This dataset contains a curated bibliometric collection of **118 peer-reviewed publications** indexation records from **Scopus** focusing on **Explainable Artificial Intelligence (XAI) in Education** published between **2019 and 2026**. The collection covers empirical studies, systematic mapping reviews, architectural frameworks, and pedagogical evaluations regarding transparent, interpretable, and accountable AI systems deployed across primary, secondary, higher education, and STEAM learning environments. ### Summary Statistics- **Total Records:** 118- **Time Span:** 2019 – 2026- **Primary Source Database:** Scopus- **Document Types:** - Journal Articles: 51 - Conference Papers: 36 - Book Chapters: 31- **Key Themes Covered:** Explainable Artificial Intelligence (XAI), Automatic Short Answer Grading (ASAG), Learning Analytics, Predictive Student Models, LIME, SHAP, Algorithmic Transparency, and Ethics in Educational AI. ### File Structure & Metadata FieldsThe dataset is exported in standard CSV format (`IA explicable.csv`) and includes 45 comprehensive metadata attributes per record:- **Bibliographic Info:** Authors, Author Full Names, Author IDs, Title, Source Title, Volume, Issue, Pages, Publication Year, DOI, Publisher, ISSN/ISBN.- **Content Details:** Abstract, Author Keywords, Index Keywords, References.- **Affiliations & Collaboration:** Authors with Affiliations, Correspondence Address, Publisher, Sponsor Details.- **Access & Classification:** Open Access Status, Document Type, Publication Stage, EID. ### Potential Use Cases1. **Bibliometric & Scientometric Analysis:** Network analysis of co-authorships, institutional collaborations, keyword co-occurrence, and thematic progression of XAI in educational research.2. **Systematic Literature Reviews (SLR) & Mapping Studies:** Benchmark dataset for evaluating trends in interpretable machine learning models in learning analytics and automated grading.3. **Data Literacy & Educational Training:** Practical dataset for academic writing workshops, quantitative literature visualization, and reproducible data processing exercises. ### LicenseThis dataset is published under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You are free to share and adapt the material for any purpose, provided appropriate credit is given.

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