TutorIT math is based on years of basic and applied research in structural learning and instructional technology.  This research has led to a series of breakthroughs making it possible for the first time to guarantee learning on basic math skills.

A lifetime of research by Dr. Joseph M. Scandura and a team of associates and graduate students in math education research, cognitive psychology and software engineering over a period of several decades has made it possible for TutorIT math to pinpoint what individual students do and do not know at each point in time and to provide learners with precisely the information they need for success.

Dr. Scandura is the author of over 200 scientific publications, including six books and given hundreds of talks before learned societies.   He is widely recognized internationally as a leader in fields as far ranging as instructional technology, math education, cognitive, experimental, developmental and educational psychology, educational statistics and software engineering.

He recently gave a keynote on May 1, 2010 at the American Educational Research Association entitled "What TutortIT can do better than a Human, and Why: Now and in the Future".  His recent monograph on "Knowledge Representation in Structural Learning and Relationships to Adaptive Learning and Tutoring Systems" generalizes, formalizes and extends a program of research and theory development extending over several decades.  This monograph is published in a special issue of Technology, Instruction, Cognition & Learning (TICL) 2007, Vol. 5, pp. 169-271.  Dr. Scandura has for many years led an international special interest group in TICL.  He recently organized a series of symposia involving leading theorists and dealing with knowledge representation and "intelligent" tutoring systems with results published in TICL in 2007 and 2009.   Other recent articles include AuthorIT: Breakthrough in Authoring Adaptive and Configurable Tutoring Systems (TICL) 2005 and Domain Specific Structural Analysis of Intelligent Tutoring Systems: Automatable Representation of Declarative, Procedural and Model-based Knowledge and Relationships to Software Engineering, TICL, 2003.  See www.scandura.com for more information.