Leveraging Artificial Intelligence to Better Exploit Open Educational Resources

Abstract: 

Open Educational Resources (OERs) have proliferated across many sites often with very high quality, broad topic coverage and in varied modalities and languages. This presents a teacher or learner with the challenge of finding the right OER for their needs. The presentation will discuss a number of ways in which Machine Learning and Artificial Intelligence can and to some extent have been exploited to assist in mapping the OER landscape, transcribing and translating individual lectures as well as matching users with content that are appropriate for their educational needs.

Bio: 

John Shawe-Taylor is professor of Computational Statistics and Machine Learning at University College London. He has helped to drive a fundamental rebirth in the field of machine learning, with applications in novel domains including computer vision, document classification, and applications in biology and medicine focussed on brain scan, immunity and proteome analysis. He has published over 250 papers and two books that have attracted over 70000 citations.
He has also been instrumental in assembling a series of influential European Networks of Excellence. The scientific coordination of these projects has influenced a generation of researchers and promoted the widespread uptake of machine learning in both science and industry that we are currently witnessing. He was appointed UNESCO Chair of Artificial Intelligence in November 2018 and is the leading trustee of the UK Charity, Knowledge 4 All Foundation, promoting open education and helping to establish a network of AI researchers and practitioners in sub-Saharan Africa.

Open Data Science

 

 

 

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