Collaborative Research: Characterizing Active Learning Environments in Physics

Information

  • NSF Award
  • 1712341
Owner
  • Award Id
    1712341
  • Award Effective Date
    8/1/2017 - 8 years ago
  • Award Expiration Date
    7/31/2020 - 5 years ago
  • Award Amount
    $ 73,485.00
  • Award Instrument
    Standard Grant

Collaborative Research: Characterizing Active Learning Environments in Physics

This project will improve tools to distinguish between active learning environments and is significant to both physics specifically and STEM education generally. Evidence that active learning is superior to purely passive lecturing is decisive, so STEM education research must now build a better vocabulary for comparing active environments. This work will study several "flagship" curricula in university physics, describing those classrooms using a common observation framework and social network analysis to examine student collaboration. The project will compare classroom features and student networks between these high-impact examples, and will also promote tools for faculty to gather similar information about their own classrooms.<br/><br/>The goals of this project are: to characterize the social network development within several research-validated active learning curricula; to use the Classroom Observation Protocol for Undergraduate STEM (COPUS) to begin to build a standardized vocabulary to compare these environments; and to begin to link specific features of learning environments with the characteristics of student social networks that develop over the semester. Student networks will form the focal measure of the work because of the prominence of student-student interactions in virtually all active learning curricula. Data on this classroom aspect currently lag far behind the detail available for individual-cognitive measures such as conceptual gains. This project will address that deficiency while simultaneously documenting the classroom features that support or constrain these collaborative networks. Data collected will include network surveys and detailed classroom observations from six research-validated curricula. Analyses will include comparison and time evolution of degree distributions, network structure and centralization, and linear modeling combining network metrics with profiles identified from COPUS analysis.

  • Program Officer
    R. Corby Hovis
  • Min Amd Letter Date
    6/14/2017 - 8 years ago
  • Max Amd Letter Date
    6/14/2017 - 8 years ago
  • ARRA Amount

Institutions

  • Name
    Wright State University
  • City
    Dayton
  • State
    OH
  • Country
    United States
  • Address
    3640 Colonel Glenn Highway
  • Postal Code
    454350001
  • Phone Number
    9377752425

Investigators

  • First Name
    Adrienne
  • Last Name
    Traxler
  • Email Address
    adrienne.traxler@wright.edu
  • Start Date
    6/14/2017 12:00:00 AM

Program Element

  • Text
    IUSE
  • Code
    1998

Program Reference

  • Text
    Improv Undergrad STEM Ed(IUSE)
  • Code
    8209
  • Text
    UNDERGRADUATE EDUCATION
  • Code
    9178