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Machine Learning and Explainable Artificial Intelligence in Education and Training - Status and Trends

  • Dimitris Pantazatos,
  • Athanasios Trilivas,
  • Kalliopi Meli,
  • Dimitrios Kotsifakos,
  • Christos Douligeris

摘要

Nowadays, the need to explain the decisions or predictions made by Artificial Intelligence (AI) is emerging more than ever as AI applications are more complex. The research field of eXplainable Artificial Intelligence (XAI) tries to fulfill this need. XAI provides a way to help humans understand how an AI’s predictions and decisions come. The scope of this work is to examine the role of XAI in the field of Education, especially in Educational Data Mining in Vocational Education and Training.