Explainability in machine learning: a pedagogical perspective
IntroductionMachine learning courses usually focus on getting students prepared to apply various models in real-world settings, but much less attention is given to teaching students the various techniques to explain a model's decision-making process. This gap is particularly concerning given th...
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| Main Authors: | Andreas Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Education |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2025.1595209/full |
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