Artificial intelligence or Ai is a broad “skewer” term that has specific areas of study clustered next to it, including machine learning, natural language processing, the philosophy of artificial intelligence, autonomous robots and TESCREAL.Ai in education (aied) also has a variety of areas of research, skewered together.[1] Including anthropomorphism, generative artificial intelligence, data-driven decision-making, ai ethics, classroom surveillance, data-privacy and Ai Literacy.[2]
There are multiple and diverse understandings, practices, and perceptions around Ai in education. However, it seems as if there are three dominant paradigms. Firstly the transmission paradigm, where Ai represents a knowledge conduit and student receives the information, or secondly, the coordination paradigm, where Ai is the supporter of student's constructionist activity. Alternately there is the leadership model, where students take agency and make choices about their learning (with or without ai)[3][4]
This complex social, cultural, and material assemblage should be seen in its geo-political context. It is likely that Ai systems will be shaped by different policy or economic imperatives which will influence the construction, legitimation and use of this assemblage in an education setting.[5]