State of the art and practice in AI in education
2022/10/30 by W. Holmes, Ilkka Tuomi · 1 voice · 11 citations
Computer Science · #Online Learning and Analytics #Intelligent Tutoring Systems and Adaptive Learning #Explainable Artificial Intelligence (XAI)
paper · pdf · doi:10.1111/ejed.12533
openalex publication_date 2022/10/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Abstract
Abstract Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state‐of‐the‐art AI in education, and exceedingly narrow views on the functions of education in society. In this article, we provide a review of existing AI systems in education and their pedagogic and educational assumptions. We develop a typology of AIED systems and describe different ways of using AI in education and learning, show how these are grounded in different interpretations of what AI and education is or could be, and discuss some potential roadblocks on the AIED highway.
Citations
- Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching
- Effectiveness of Intelligent Tutoring Systems
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