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Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A Researcher’s Guide to Data Science
Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A Researcher’s Guide to Data Science
Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | August 18, 2026 |
| ISBN13 | 9781041149019 |
| Publishers | Taylor & Francis Ltd |
| Pages | 250 |
| Dimensions | 150 × 220 × 20 mm · 533 g (Weight (estimated)) |
| Editor | Khine, Myint Swe |