Skip to content

Upcoming event What does 'Artificial Intelligence' mean for educational research

What is the future for artificial and human intelligence?

Artificial intelligence seems to be everywhere at the moment, but it is hard to pin down exactly what this means for educational research. The first in a series of three events, the overarching aim is to identify areas where educational research can inform or benefit from related work on human and machine intelligence.

We are bringing together researchers, technologists, and postgraduate students for a study day, to hear about the latest technological developments, map out the boundaries of what is a rapidly developing and very exciting educational research sub-field, think through possible future directions for investigation and establish a network of colleagues for collaborative funding proposals.

The main topics of focus are:

  • Social inclusion and mobility – how do algorithms exclude people from some types of provision, and what can researchers do about it?
  • Interfaces between human and machine learning – is the deep brain implant the stuff of science fiction, or do we think it will become a reality? Do we think it should become a reality?
  • The expanding role of artificial intelligence in education systems – will teachers become redundant in the face of ever-expanding platforms, or will they be needed more than ever?

Programme:

09.30 Registration, tea and coffee
10.00 Welcome
Sandra Leaton Gray, UCL Institute of Education and Dimitris Parapadakis, University of Westminster
10.15 Latest developments in artificial and human intelligence research
Sandra Leaton Gray, UCL Institute of Education
11.15 What is Artificial Intelligence and what can it do for/to Education?
Dimitris Parapadakis, University of Westminster
12.15 Lunch and networking
13.00 Panel discussion – Should AI inform educational research, or should educational research inform AI?
Sandra Leaton Gray, UCL Institute of Education; Dimitris Parapadakis, University of Westminster; Maria Margeti, UCL Institute of Education; David Aldridge, Brunel University
14.00 Group Activity I – Scenario planning exercise exploring the political, economic, social and technological aspects of AI in education, with special reference to ethics
14.45 Group Activity II – Discussion on the different scenarios created in groups
15.30 Summary and strategic plan
15.55 Completion of Evaluation forms
16.00 Close of event

#BERA_AI
@BERANews