Bio

Paulo Blikstein is an assistant professor at the Stanford Graduate School of Education and (by courtesy) the Computer Science Department, where he directs the Transformative Learning Technologies Lab (TLTL) and co-directs the Lemann Center for Educational Entrepreneurship and Innovation in Brazil.

Blikstein’s research focuses on how new technologies can deeply transform the learning of STEM disciplines: science, technology, engineering, and mathematics. He creates and researches cutting-edge educational technologies, such as computer modeling, robotics, physical computing, tangible user interfaces, and digital fabrication to create hands-on, constructionist learning environments. To study these environments and assess the complex learning that happens in them, Blikstein and his students created a new methodological field, called Multimodal Learning Analytics (MMLA), which uses data mining and machine learning techniques combined with advanced sensing techniques such as eye-tracking, gesture-tracking, bio-sensing, and logfile analysis. In 2009, Blikstein created the first program to bring and research FabLabs and Makerspaces into schools, the FabLearn project (formerly called FabLab@School), building advanced digital fabrication labs in middle and high-schools in the US, Russia, Mexico, Spain, Denmark, Finland, Australia, and Thailand. In 2011, Blikstein also co-founded the Lemann Center at Stanford, a 10-year initiative transform public education in Brazil.

Academic History

  • present2009

    Assistant Professor of Education & (by courtesy) Computer Science

    Stanford University

    Transformative Learning Technologies Lab (TLTL), Director

    Lemann Center for Educational Innovation in Brazil, Co-founder & Director

  • 20092003

    Ph.D., Learning Sciences

    Northwestern University (Center for Connected Learning and Computer-Based Modeling, School of Educational and Social Policy).

  • 20022000

    Masters, Media Arts and Sciences

    Massachusetts Institute of Technology (MIT Media Lab, Future of Learning Group)

  • 20001999

    Masters, Digital Systems Engineering

    University of São Paulo (Digital Systems Engineering Department)

  • 1999start

    Bachelor of Science, Metallurgical Engineering

    University of São Paulo (Materials Science and Metallurgical Engineering Department)

Awards

  • CAREER award
  • NSF award

Research Interests

  • science, technology, engineering and mathematics (STEM) and computer science education
  • digital fabrication and makerspaces in education
  • low-cost educational technologies
  • computational representations, restructurations

Research Methods

  • design-based research
  • large-scale surveys
  • multimodal learning analytics

Technologies

  • digital fabrication, fablabs
  • tangible user interfaces
  • computational modeling
  • robotics and physical computing