FANDOM


Presenter Ryan Staab
Date 2-23-2012

Abstract

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.


Outline

Intelligent Tutoring Systems

Definition

Common uses

Benefits

How it works

Real example systems

Cons

Future


References

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


Presentation Material

Google presentation:

https://docs.google.com/presentation/d/1TAYSqcgTLEX9ler1jnzT73Ekfah3p3uDvrXu1PGmZJw/edit