Menu

About Zoran Popović 

Zoran Popović is a Professor of Computer Science and the Director of the Center for Game Science at the University of Washington, as well as founder of Enlearn. Trained as a computer scientist, his research focuses on creating engaging environments for learning and scientific discovery. He is one of the leaders in the field of large-scale citizen science. His laboratory created Foldit, a biochemistry game that produced four Nature publications, and showed for the first time that novices can be developed into world-class experts in a science domain through game-based scientific discovery. His laboratory has produced award-winning math learning games played by over five million learners worldwide. He is currently focusing on engaging methods that can rapidly develop mastery and expertise in arbitrary domains with particular focus on scientific breakthroughs and revolutionizing K–12 math education. Zoran is known for conducting large-scale educational campaigns including Algebra Challenges conducted in Washington, Minnesota, and Norway with almost 100,000 students. To maximize the impact of his research, he founded Enlearn to develop the first platform that adapts all aspects of the learning ecosystem by specializing to each curriculum, student, classroom and teacher in real time, towards maximizing learning outcomes. His contributions to the field of interactive computer experiences have been recognized by a number of awards including the NSF CAREER Award, Alfred P. Sloan Fellowship and ACM SIGGRAPH Significant New Researcher Award.

  • Optimizing The Learning Ecosystem at Scale

    Posted By Zoran Popović | Feb 15, 2017
    learning-ecosystem-blog

    Technology-enhanced learning has delivered successful “pockets of advancement” in schools, but there has been very little success at scale that has made a profound difference. So we need to ask ourselves what needs to change in order identify and replicate success on a national level? Is the data gathered from educational science helping us scale success? And if not, what needs to be changed in our approach to actionable research that will finally move the needle for all students? In order to fully answer the question of how to positively affect learning through technology-enhanced innovations, we have to, as scientists, start by accepting the most fundamentally challenging and interesting problem—analyzing student learning. The key underlying condition is that learning is, in every case for every child everywhere in the world, 100% contextual, while our resulting “research-based” recommendations and solutions are not.

    Full story