Educational Technology

University of Arizona (UA) scientists have received a $300,000 Defense Advanced Research Projects Agency grant to develop artificial intelligence and education technology that mirrors the consumer tracking algorithms used by sites such as Amazon and iTunes. The researchers, led by UA professor Paul R. Cohen, want to maximize a tutoring system model by using data on learners to improve the feedback provided by intelligent tutoring systems. "Teaching people means making a sequence of dependent decisions," Cohen says. "We're trying to optimize the value of each decision by reasoning algorithmically about how it sets up the student for future learning opportunities." The researchers are developing a program that would be capable of already knowing what a student knows and matching that knowledge with comparable students before suggesting specific texts, exams, videos, educational games, demonstrations, and other Web-based educational tools. The technology would be able to direct students to the best possible learning experience for each student, refining each student's curriculum as it learns more about learners in general. Preliminary findings from a pilot project suggest that students who used the model learned more quickly and were able to retain information better, and that the program improved as more students participated.