To date, NGLC has launched two grant competitions focused on higher education: “Building Blocks for College Completion,” and “Breakthrough Models for College Completion.”
The first wave of funding was announced in October 2010 and focused primarily on postsecondary education. Four challenges comprised Wave I: deployment of open core courseware, scaling of blended learning programs, encouragement of deeper learner engagement and mobilization of learning analytics. Details are available in the RFP (now closed).
After receiving more than 600 initial proposals, NGLC announced final winners on March 31, 2011.
A college credential – whether a certificate, a two-year or four-year degree – is critical for future success.
Yet for too many Americans, a postsecondary credential is out of reach, whether due to inadequate academic preparation, affordability or family demands. NGLC leverages technology-enabled solutions to overcome those obstacles, creating opportunities for flexible, personalized learning; comprehensive student supports; competency-based pathways; and engaging learning environments.
In March 2011, NGLC awarded 29 grants for projects to improve course completion, persistence, and college completion across four challenge areas: blended learning, open core courseware, deeper learning and engagement, and learning analytics. NGLC grantees are helping break down technical and institutional barriers to adoption and scaling of proven solutions. Learn more about their work…
In October 2011, NGLC launched a call for whole-college or degree-program models that exemplify high student outcomes, personalized learning, and affordability. NGLC anticipates awarding 6-8 grants for redesigned models of higher education at the degree program or institutional level that blend the best of brick-and-mortar and online learning and result in deeper learning at scale, equal or lower costs with greater effectiveness, and improved rates of degree completion. Learn more about our grantees from Wave I: Building Blocks and Wave IIIb: Breakthrough Models,