Creating One to One Learning opportunities across the Internet

DEMO Lab at
Brandeis University's Computer Science Department, .

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Humans learn most efficiently in small groups with teachers who find each student's "Zone of Proximal Development." It is not economic to reduce the student/teacher ratio in the public school classroom.
Intelligent tutoring systems were based on an untenable assumption that a computer program could model the human mind. We are developing a new kind of networked anytime learning system, using adaptive computation, which enables appropriate one to one human interactions sheilded by and facilitated on the Internet.
Just list agents in a market can trade without a central governor, and biological systems can evolve without a designer, groups of learners can often progress without a teacher. Using students as each others's mentors across the internet is now possible and may lead to dramatic improvements in the economy of learning.
Paradigm for One-to-One Learning

http://www.demo.cs.brandeis.edu

Jordan Pollack, Associate Professor (pollack@cs.brandeis.edu)
Elizabeth Sklar, Assistant Professor (sklar@cs.bc.edu)
Anthony Bucci, Graduate Student (abucci@cs.brandeis.edu)
Ann Marion, Project Manager (amarion@cs.brandeis.edu)

DEMO Lab

Computer Science Department

Brandeis University

Waltham MA 02454-9110 USA

The web site for Educational Technologies is http://www.demo.cs.brandeis.edu/edtech - please visit us!