Advancing Multi-User Virtual Reality Classrooms to Support Collaborative Experiential Learning and Teaching of Introductory Physics

Information

  • NSF Award
  • 2418236
Owner
  • Award Id
    2418236
  • Award Effective Date
    9/1/2024 - a year ago
  • Award Expiration Date
    8/31/2027 - a year from now
  • Award Amount
    $ 899,526.00
  • Award Instrument
    Standard Grant

Advancing Multi-User Virtual Reality Classrooms to Support Collaborative Experiential Learning and Teaching of Introductory Physics

Physics, which comprises a combination of theoretical concepts and practical experiments, could be a challenging STEM subject to learn, especially for non-science majors. This project investigates a multi-user virtual reality classroom framework to promote collaborative experiential learning and teaching of introductory physics. Through this framework, teachers can easily author and conduct physics classes in virtual reality, while students engage in collaborative experiential learning, leading to a deeper conceptual understanding of physics and more sophisticated experiment skills. This project offers a novel, interdisciplinary research perspective by bringing together concepts and techniques from virtual reality, human-computer interaction, multimedia, networking, astronomy, physics, learning technologies, and science learning. The team will publicly disseminate the research findings, system designs, and software toolkits. They will collaborate with the George Mason University’s teacher preparation programs and the observatory to adopt virtual reality for physics education. They will also mentor undergraduate students from underrepresented backgrounds to participate in virtual reality research, as well as organize outreach activities to showcase multi-user virtual reality physics classes to students, educators, and the general public.<br/> <br/>This project focuses on four research aims. First, the project team will investigate system-level techniques such as efficient remote rendering and viewport adaptive streaming to enable scalable multi-user virtual reality physics classes. Second, the project team will create interactive annotation, communication, and visualization tools to support collaborative experiential learning and teaching of physics in virtual reality. Third, the team will develop handy authoring tools for content creators and teachers to quickly generate virtual reality physics classes adaptive to students’ learning progress. Fourth, the team will conduct user studies to examine the impact of the proposed virtual reality classroom framework on students’ enjoyment, engagement, teamwork, confidence, and knowledge retention compared to traditional teaching approaches.<br/><br/>This project is funded by the Research on Innovative Technologies for Enhanced Learning (RITEL) program that supports early-stage exploratory research in emerging technologies for teaching and learning.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Fengfeng Kefke@nsf.gov7032922411
  • Min Amd Letter Date
    8/12/2024 - a year ago
  • Max Amd Letter Date
    8/12/2024 - a year ago
  • ARRA Amount

Institutions

  • Name
    George Mason University
  • City
    FAIRFAX
  • State
    VA
  • Country
    United States
  • Address
    4400 UNIVERSITY DR
  • Postal Code
    220304422
  • Phone Number
    7039932295

Investigators

  • First Name
    Bo
  • Last Name
    Han
  • Email Address
    bohan@gmu.edu
  • Start Date
    8/12/2024 12:00:00 AM
  • First Name
    Lap Fai
  • Last Name
    Yu
  • Email Address
    craigyu@gmu.edu
  • Start Date
    8/12/2024 12:00:00 AM
  • First Name
    Songqing
  • Last Name
    Chen
  • Email Address
    sqchen@gmu.edu
  • Start Date
    8/12/2024 12:00:00 AM
  • First Name
    Jie
  • Last Name
    Zhang
  • Email Address
    jzhang7@gmu.edu
  • Start Date
    8/12/2024 12:00:00 AM
  • First Name
    Carley
  • Last Name
    Fisher-Maltese
  • Email Address
    cfisherm@gmu.edu
  • Start Date
    8/12/2024 12:00:00 AM

Program Element

  • Text
    ITEST-Inov Tech Exp Stu & Teac
  • Code
    722700
  • Text
    Cyberlearn & Future Learn Tech
  • Code
    802000