Abstract:

Artificial intelligence (AI) is much maligned, misunderstood and feared. At the same time, it is one of many iterations of technology enhanced learning that is lauded generously or credited with the ability to solve complex problems. This presentation will explode some of the myths surrounding A.I and examine the literature and evidence around it. The session will also explore the realities of A.I at ground level for example in British Secondary Schools. The session will explore some ongoing research into a case study of one example of machine learning that is making major inroads into mainstream education. The case study approach will be interrogated as a valid research method. Previous work by Atherton (2018, 2019) has explored an apparent disconnect between the utopian promise of edtech and its more prosaic reality in an austerity culture. The piece will also explore the various taxonomies of A.I? Why are these categories important (or not)? How do they fit into and help contextualise the overall edtech landscape?

Keywords:

Edtech, A.I., artificial intelligence, tel, assessment.