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In the European framework programmes for research and technological development, AI
technologies have been studied and applied in educational
contexts in many projects
focusing on technology-enabled learning. These projects have used technologies that
have
deep ties with AI research, including natural language processing,
pattern
recognition, intelligent tutoring,
probabilistic AI planning, intelligent agents,
AI game
engines, and adaptive user models in personalized learning environments (PLE).
The
impact of these technologies in practical educational settings has been
relatively modest until recently. Technical developments over the recent years,
however, suggest that the situation may be changing rapidly.
The main intent of the present report is to help educators and policymakers to make
sense of these potentially very important technical developments.
To understand the
impact of AI, we need to understand what AI is and what it can do. In the current “AI
avalanche” this is not always easy. Deep expertise in AI technology is scarce, and many
educators and policymakers now struggle to get up to date with basic knowledge in this
area. In the midst of self-driving cars, speaking robots, and the flood of “AI miracles”,
it
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