webinar 5th Nov 2020 | 11:00 - 12:30 UTC
Can a computer learn to show the empathy required to support your staff with student recruitment, welfare, and retention?
In an increasingly competitive sector, students are demanding more from their education institutions. Shrinking profitability margins mean institutions need to work smarter to ensure optimised student recruitment, retention, and employability. AI has the potential to address many of these big challenges. As long as we remember that technology is an enabler not a solution.
Join our webinar on Thursday, 5th November and hear key individuals in the UK Education Sector discuss:
- the huge impact Artificial Intelligence (AI) can have on the education sector,
- the use of cutting-edge technology to adapt teaching styles and education software to the needs of individual learners,
- the impact of being able to offer 24/7 support to students
- the benefit of being able to give accurate, timely, and responsive feedback to learners and course tutors.
11:00 – 11:05 Welcome & Introduction
11:05 – 11:25 “Finland vs. UK in Artificial Intelligence”
Peter Karsten & Matt Weaver of Objectivity
11:25 – 11:45 “Education for AI / AI in Education”
Paul Matthews, Senior Lecturer, Department of Computer Science and Creative Technologies, University of the West of England
11:45 – 12:05 “To Understand How We Think”
Rose Luckin, Professor of Learner Centred Design at UCL Knowledge & Director at EDUCATE
12:05 – 12:25 Round Table Discussion
12:25 – 12:30 Closing Comments
Professor of Learner Centred Design at UCL Knowledge Lab and Director at EDUCATE
“To Understand How We Think”
How should we navigate the evolving relationship between teaching and AI? For the first time, AI can help us extend, develop, and measure human intelligence. This can make us smarter about how we understand teaching and learning.
The starting point for Professor Luckin is an understanding of human intelligence, as distinct from other forms of intelligence such as AI. The next step is to focus on helping people to advance the elements of their human intelligence that cannot be automated, particularly our meta-intelligence. AI is then used to help us understand ourselves through this increased meta-intelligence.
Senior Lecturer, Department of Computer Science and Creative Technologies, University of the West of England
“Education for AI / AI in Education”
Education for AI—how can individuals and groups of individuals build and maintain portfolios that provide consistent value?
AI in Education—how can simulation and learning analytics increase the speed and precision of education for AI?
Peter Karsten & Matt Weaver
AI Lead & Consultancy Director, Objectivity
“Finland vs. UK in Artificial Intelligence”
UK and Finland. Two very different educational approaches to AI and ML. The UK focuses its embrace of AI narrowly on top performance in key areas. Finland sees the 2010-2030 period as the nation's journey to AI cloud computing, empowering a whole population with know-how in the hope that something will spring from it. AI and ML will be powerfully deployed around every individual by 2030.