Intelligent Tutoring Systems

@article{Anderson1985IntelligentTS,
  title={Intelligent Tutoring Systems},
  author={John R. Anderson and C. Franklin Boyle and Brian J. Reiser},
  journal={Science},
  year={1985},
  volume={228},
  pages={456 - 462}
}
Cognitive psychology, artificial intelligence, and computer technology have advanced to the point where it is feasible to build computer systems that are as effective as intelligent human tutors. Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP. 

Intelligent Tutoring Systems

Intelligent tutoring systems are computer programs that use artificial intelligence techniques to interact with students and to provide experiences tailored to students' immediate needs. Originally,

Development principles for intelligent tutoring systems: Integrating cognitive theory into the development of computer-based instruction

A basic development model for an intelligent tutoring system (ITS) is described: the interface, the student model, the expert model, and the pedagogical model to illustrate the possibilities for more extensive integration of cognitive learning theories into computer-based instruction.

Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors

I propose that a more effective intelligent tutoring system (ITS) for the domain of algebra symbolization can be made by building a cognitive model of human tutors and incorporating that model into

An Intelligent Tutoring System to Teach Debugging

A web-based ITS is discussed to teach introductory level Computer Science students debugging skills, using and teaching case-based reasoning.

Some principles of intelligent tutoring

It is concluded that a computer tutor, in order to provide adaptive instruction, must have a strategy which translates its tutorial goals into teaching actions, and that research on teaching strategies is central to the construction of intelligent tutoring systems.

The Research and Design of Web-based Intelligent Tutoring System

There are five models in the intelligent tutoring system, based on the intelligent technology, they are cognition student model, knowledge representation model, intelligence frame tutoring model and learning guidance reasoning model, which can be a more intelligent college Tutoring system.

Intelligent tutoring systems: An overview

The basic principles of Intelligent Tutoring Systems (ITS) are presented which are capable of rich interaction with the student, which know how to teach, and who and what they are teaching.

Computer Supported Collaborative Learning and Intelligent Tutoring Systems

In this chapter we discuss how recent advances in the field of Computer Supported Collaborative Learning (CSCL) have created the opportunity for new synergies between CSCL and ITS research. Three

Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems

The types of guidance and support provided by human tutors with those in intelligent tutoring systems are compared, by examining the process of recovering from impasses encountered during problem solving.
...

References

SHOWING 1-10 OF 36 REFERENCES

Building a Computer Tutor: Design Issues

This work intends to develop and INTEGRATE KNOWLEDGE Acquis- ITion toOLs to FACILITATE ASSIMILATION of teaching and learning, and integrate knowledge into inTELLIGENT TUTORS.

AI in CAI : An artificial intelligence approach to computer-assisted instruction

The main purpose of the research reported here is to show that a new and more powerful type of computer-assisted instruction (CAI), based on extensive application of artificial-intelligence (AI)

Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge

Wenger's book serves three purposes: it acts as a reference, it provides a comprehensive introduction to intelligent tutoring systems, and it develops a coherent framework for thinking about issues in any intelligent system that must communicate its knowledge.

Tutoring rules for guiding a case method dialogue

The goal structure of a socratic tutor

The current version of the Why System, a script-based socratic tutor which uses tutoring strategies formulated as production rules, is described and a more complete theory of the goal structure of Socratic tutors based on analysis of human tutorial dialogues is outlined.

A structured planning and debugging environment for elementary programming

Knowledge-based adaptive curriculum sequencing for CAI: Application of a network representation

The application of a semantic network to represent the complex interrelationships among the skills in a CIN for the BASic Instructional Program, a CAI problem-solving laboratory for introductory programming in the BASIC language is described.

An overview of STEAMER: An advanced computer-assisted instruction system for propulsion engineering

The goal in this paper is to describe the system the authors are attempting to construct, discuss its origins, and identify what they perceive to be its implications for psychological research into instruction.

A Model-Driven Question-Answering System for Mixed-Initiative Computer-Assisted Construction

A method of modeling processes with augmented finite-state automata is discussed and is shown to permit efficient inferencing as well as provide a satisfactory deep structure for paragraph generation.