G4LI Partnering with Carnegie Learning, PSLC and Others Awarded Next Generation Learning Challenges Wave 1 Grant
Published April 9th, 2011
NEW YORK, NY, April 8, 2011 – The Games for Learning Institute is participating in The Mathematics Fluency Data Collaborative, a project led by Carnegie Learning, Inc. that has been awarded a $750,000 grant from the Next Generation Learning Challenges (NGLC) Wave I, a new initiative focused on identifying and scaling technology-enabled approaches to improve college readiness and completion, especially for low-income young adults, in the United States. The goal of the project is to improve performance in developmental math courses by building games to help students develop the fluency and number sense required to succeed in mathematical problem solving. The Mathematics Fluency Data Collaborative is one of 29 grantees selected from a field of more than 600 pre-proposals and 50 finalists.
The NGLC initiative plans to advance college readiness and completion by addressing a continuum of interrelated issues spanning secondary and postsecondary education from grades 6 through college. NGLC is led by EDUCAUSE in partnership with The League for Innovation in the Community College, the International Association of K-12 Online Learning, and the Council of Chief State School Officers. The Bill & Melinda Gates Foundation and the William and Flora Hewlett Foundation helped design the Next Generation Learning Challenges and funds the initiative.
A collaborative project led by Carnegie Learning, The Mathematics Fluency Data Collaborative is a partnership among the Games for Learning Institute (G4LI) at New York University; Game2Learn at the University of North Carolina, Charlotte; the Pittsburgh Science of Learning Center at Carnegie Mellon University; Pellissippi State Community College in Tennessee; and the Playpower Project. The Washington State Board for Community and Technical Colleges, Pellissippi State Community College, Boise State University, and Carlow University are implementation partners.
“The Mathematics Fluency Data Collaborative will establish a practice that values iterative testing and refinement of learning games based on careful examination of student data,” said Dr. Steve Ritter, chief scientist for Carnegie Learning, Inc. and the project director. “Our team of researchers will mine the data to better understand which gaming parameters lead to success. The game code will be released under an open source license, so that the games can serve as a model for additional development as well as a platform for researchers interested in developing and testing improvements to the games.”
Games produced under this effort will be included in future releases of Carnegie Learning’s Cognitive Tutor® and MATHia™ software programs for middle school, high school, and post-secondary students aligned with the Common Core State Standards for Mathematics. In addition to funding, NGLC is gathering evidence about effective practices and working to develop a community dedicated to these persistent challenges.
“The Games for Learning Institute is pleased to participate in the The Mathematics Fluency Data Collaborative which allows us to continue building the science of learning with partner universities, games design researchers, and corporate partners,” said Jan Plass, professor of educational communication and technology and co-director of G4LI at New York University. “This is a significant project in that we will be designing games that can improve student success in college while producing rich research data to help us verify the educational quality and impact of these games; and, it allows us to continue growing a highly interdisciplinary research and development community to study games as agents to transform education for a broad range of learners.”
The Mathematics Fluency Data Collaborative
The Mathematics Fluency Data Collaborative (MFDC) brings together leading experts in cognition and game design to build an R&D platform for developing, refining and distributing high-quality mathematics games. Our focus will be on games to build fluency in mathematics as a basis for number sense.
MFDC will establish a community of practice that values iterative testing and refinement based on careful examination of student data. We will provide data to the Pittsburgh Science of Learning Center so that researchers can mine the data to better understand the parameters that lead to success.