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. Likewise, 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.
There are multiple and diverse understandings, practices, and perceptions around AI in education. This complex social, cultural, and material assemblage should be seen in its geo-political context. Ai will be shaped by different policy or economic imperatives which will influence the construction, legitimation and use of Ai in an education setting.[2]