Supporting Student Success at All Stages of the University Journey
University of Chester vice-chancellor Eunice Simmons talks about effective strategies for widening access and embedding equity in higher education.
Artificial intelligence has a lot of potential for higher education. It can automate onerous tasks for teachers, help researchers leapfrog exercises that require complex computing skills and make higher education more accessible and personalized for students. But the risks of using AI are high, including biases that could be built into algorithms and a lack of transparency around data usage.
Though we may be a long way from understanding exactly how higher education can harness AI and machine learning’s great potential in a safe way, this episode's guests say that continuing to test and explore it is the only way to make progress.
Join THE Campus editor Sara Custer and senior content curator Miranda Prynne as they speak with Ashok Goel, a professor of computer science and human-centered computing at the Georgia Institute of Technology and the developer of the first automated teaching assistant, as well as John Wu an assistant astronomer at the Space Telescope Science Institute and an associate research scientist at Johns Hopkins University.
University of Chester vice-chancellor Eunice Simmons talks about effective strategies for widening access and embedding equity in higher education.
Two academics with experience in delivering and researching teaching in varied educational contexts discuss the complexities of effective instruction.
When hybrid learning and immersive technology can connect and engage students working in any location, where does that leave all those lecture halls and libraries? We ask two US experts about how universities are adapting to the digital transformation.
Find out how two universities, in Hong Kong and the UK, are embracing generative AI and building institution-wide digital expertise.
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