Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education

Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education

Artificial neural networks (ANNs) have proven to be among the most important artificial intelligence (AI) techniques in educational applications, providing adaptive educational services. However, their educational potential is limited in practice due to challenges such as the following: (i) the diff...

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Bibliographic Details
Main Authors: Danial Hooshyar, Roger Azevedo, Yeongwook Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machine Learning and Knowledge Extraction
Subjects:
learner modeling
personalized learning
machine learning
knowledge extraction
neural-symbolic AI
explainable and trustworthy AI
Online Access:https://www.mdpi.com/2504-4990/6/1/28

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