DARPA is especially interested in surfacing ideas that leverage intelligent tutoring to allow adult learners to self-direct learning and develop critical skills. A growing body of evidence demonstrates the power of tutoring as a means to teach all learners quickly and effectively. Yet, programs that rely on human tutors are costly. Recent advances in AI have made way for computer-based tutoring systems that use AI to personalize instruction in real-time based on learner responses. These systems have the potential to drastically reduce the cost of high-quality tutoring, and therefore increase access for all learners.
In addition to receiving funds, winners will have the opportunity to connect with prominent learning science researchers, ed tech leaders, and representatives of large philanthropic organizations to scale their work.
Each proposal will be evaluated on six criteria in addition to the eligibility requirements for the given award level:
There are three award levels:
Estimated Total Program Funding: