Philip Piety is a Learning Scientist who supports undergraduate and graduate programs thought teaching and research. He began at the iSchool in 2014 and has also taught at the Smith School of Business at Maryland and Johns Hopkins School of Education. He has a PhD from the University of Michigan’s School of Education. His degree was titled Learning Sciences: Materials, Measurement, and Information Architecture. His MA is from the Communication, Culture, and Technology program at Georgetown. After a career in the technology field with Oracle and IBM, he returned to college as an adult to earn a BS in Information Systems and Computer Science from the University of Maryland’s University College.
Some of the courses he teaches involve technology infrastructures and architecture as well as organizations, management, and teamwork. He also works with and has written about educational data technologies and learning analytics/education data science. He is the director of the Maryland Education Digital Infrastructures and Analytics Lab. He is a strong proponent of project-based learning and using methods to develop unique projects with his students.
Current Research Interests
- Education data science including learning analytics, education data mining, and data-driven decision-making
- Education digital infrastructures
- Open education resources and technology supported pedagogy