Office Hour with Marie Bienkowski and Zachary Pardos

Expo Hall (Table A)

As learning and teaching goes “deeply digital” with platforms like Khan Academy and expands broadly into new postsecondary online MOOC environments that straddle the high school to college boundaries, students and teachers have greater opportunities for high-quality content and data-driven learning progress than ever before. How can we convert early momentum to make a lasting contribution to the nation’s approach to education? We can discuss notable hurdles, unique challenges and critical issues in education for making effective use of big data and talk about how you could contribute to this important problem.

We seek the Strata community’s collaboration in building the interdisciplinary field of Learning Analytics in the year ahead—we can discuss how to make that happen.

Photo of Marie Bienkowski

Marie Bienkowski

SRI International

Marie Bienkowski is the Deputy Director of the Center for Technology in Learning, at the nonprofit research organization, SRI International. She works with educational researchers to develop and evaluate technology in K-12 education, and to contribute research data to education policy discussions. Many of her projects involve efforts to interest underrepresented groups in science, technology, engineering, and mathematics careers with a focus on computer science. She leads software projects in the areas of learning resource analytics and intelligent information management. Dr. Bienkowski co-authored the report “Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics” for the U.S. Department of Education (released in October 2012). She is the co-PI of an NSF-funded grant on assessing computational thinking for high school students and is leading SRI’s contributions to the core infrastructure of the open-source learning-resource analytics project called the Learning Registry. She received her Ph.D. in computer science from the University of Connecticut.

Photo of Zachary Pardos

Zachary Pardos

Massachusetts Institute of Technology

Zach Pardos is a researcher at Massachusetts Institute of Technology exploring data driven methodologies to aid learners and educators using virtual learning environments. He earned his PhD in Computer Science at Worcester Polytechnic Institute in the Tutor Research Group in 2012. During his PhD he spent extensive time on the front lines of K-12 education working with teachers and students to integrate educational technology into the curriculum as an assessment tool to be used formatively. He is an emerging leader in the field of Educational Data Mining and has received numerous academic awards and honors for components of his thesis work on “Predictive Models of Learning” including a top prize applying his educational analytics in the 2010 KDD Cup, an international big data competition on predicting student performance within an intelligent tutoring system.

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