An intelligent tutoring system (ITS) is an educational software system containing an artificial intelligence component consisting of four modules: interface, student model, expert model, and tutor model. The software tracks students' work, tailoring feedback and hints along the way. By collecting information on a particular student's performance, the software can make inferences about strengths and weaknesses, and can suggest additional work. The system creates a model (ontology) of the subject as well as for the student, representing what the student knows, the students deficiencies, and gaps in knowledge.
Intelligent Tutoring Systems
How it works
Real example systems
Jim Ong, Sowmya Ramachandra, Intelligent Tutoring Systems: The What and the How, 2010 - http://www.astd.org/LC/2000/0200_ong.htm
carnegie mellon, project LISTEN, 2008 - http://www.cs.cmu.edu/~listen/
Josh Charmot -Artifical intelligence as a tutor 2002 - http://www.nsf.gov/od/lpa/news/02/tip020506.htm#fourth
Peter Norvig interview, Remote Learning Project, 2012 - http://remotelearningproject.com/interviews/peter-norvig/
Koedinger, K. R.; Corbett, A. (2006). "Cognitive Tutors: Technology bringing learning science to the classroom". In Sawyer, K.. The Cambridge Handbook of the Learning Sciences. Cambridge University Press. pp. 61–78. OCLC 62728545.
Ryan Shaun Joazeiro de Baker - Gaming the System, 2004 http://www.psychology.nottingham.ac.uk/staff/lpzrsb/gaming.html