TWG 4: Thinking about machine learning – implications for education 

The interface between robotics, computational thinking, and human-computer interaction is evolving. For example: artificial intelligence, self-driving cars, haptic (touch) technologies, language recognition and the rapidly expanding uses of speech control and recognition are all changing the ways in which learning can occur within a technological environment. Decisions are being made and new challenges posed for learners, teachers, researchers and administrators based on new affordances which machine interfaces offer. These raise questions such as: who will be teaching whom, who will be leading whom and what roles will be attributable to learning companions (bots)? Furthermore, how will new human computer interfaces change the learning interactions and scope and range of learning opportunities?

TWG 4 co-leaders:  Andrew Fluck (University of Tasmania), Mary Webb (King's College London)

Link to TWG 4's Working document 

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