IDS Distinguished Speaker Series #2
Professor Sihem Amer-Yahia
Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
The COVID-19 health crisis has seen an increase in the use of digital work platforms from videoconferencing systems to MOOC-type educational platforms and crowdsourcing and freelancing marketplaces. These levers for sharing knowledge and learning constitute the premises of the future of work. Educational technologies coupled with AI hold the promise of helping learners and teachers. However, they are still limited in terms of social interactions, user experience and learning opportunities as they must address a tension between learner-centered and platform-centered goals. Professor Amer-Yahia will describe research at the intersection of data-informed recommendations and education theory and conclude with ethical considerations in building educational platforms.
Professor Reynold Cheng is a Professor of the Department of Computer Science in the University of Hong Kong (HKU). His research interests are in data science, big graph analytics and uncertain data management. He was the Assistant Professor in the Department of Computing of the Hong Kong Polytechnic University (HKPU) from 2005 to 2008. He received his BEng (Computer Engineering) in 1998, and MPhil (Computer Science and Information Systems) in 2000 from HKU. He then obtained his MSc and PhD degrees from Department of Computer Science of Purdue University in 2003 and 2005.
Prof. Cheng has received numerous academic awards, and he is also the Associate Director of the Musketeers Foundation Institute of Data Science. For full biography of Prof. Cheng, please browse: https://datascience.hku.hk/reynold-cheng/
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