UTA to design new models for networked group learning and online work settings for Web 3.0

IMAGE: This is George Siemens, executive director of UTA’s LINK Lab. view more Credit: UTA New research at The University of Texas at Arlington will analyze massive scale data traces from online work and learning communities to create new designs for networked learning and next generation knowledge building on the internet. The internet is today characterized by the convergence of ubiquitous connectivity, networked computing, and more intelligence through machine learning and artificial intelligence. The data sets used include social networking sites, medical devices, telescopes and satellites to emails, streaming data, financial and commercial transactions. “With the growing number of options available to learn and create knowledge together with peers from around the world, we need to better understand how and why people choose to engage in different types of courses and…


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