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Supremely Explainable Artificial Intelligence (XAI) in Education 5.0: Articulating Constructive Alignment in Teaching Learning Practices

  • Bhupinder Singh,
  • Christian Kaunert

摘要

Education 5.0 marks a paradigm shift in learning methodologies, propelled by the integration of advanced technologies such as Explainable Artificial Intelligence (XAI). Explainable Artificial Intelligence (XAI) has emerged as a critical element in the educational landscape, offering transparency and interpretability in the decision-making processes. In the context of Education 5.0, where personalized and adaptive learning experiences are paramount, XAI plays a pivotal role in enhancing the understanding of AI-driven recommendations and interventions. With aligning AI-driven recommendations with educational goals, institutions can provide personalized learning experiences that cater to individual student needs. While the synergy between XAI and constructive alignment presents promising prospects, it also introduces challenges that need careful consideration. It outlines opportunities for addressing these challenges through interdisciplinary collaboration, ethical guidelines, and ongoing professional development. This chapter explores the intersection of XAI and the pedagogical concept of constructive alignment, aiming to elucidate their synergies in shaping effective teaching and learning practices.