NotesFAQContact Us
Search Tips
ERIC Number: ED309756
Record Type: Non-Journal
Publication Date: 1988-Oct
Pages: 7
Abstractor: N/A
Reference Count: N/A
Artificial Intelligence in Education and Training: The Promise and the Reality.
Fletcher, J. D.
An intelligent tutoring system (ITS) must: (1) represent the relevant knowledge domain; (2) represent the student's state of knowledge of the subject matter; (3) represent an expert tutor; and (4) communicate with the student. Such systems reflect a cognitive orientation or information structure oriented (ISO) approach to instructional design. In this framework, instruction involves creating environments in which students are encouraged to construct and modify their own models of the world. The distinguishing characteristic of intelligent tutoring systems is their generative capability, i.e., their capability to construct a model of the student's unique construction of the subject matter and to generate the instructional interactions that will improve the student's model. A review of nine intelligent tutoring systems developed for a military instruction indicates that: (1) since none of the systems contain the four basic elements of an intelligent tutoring system, there are no true intelligent tutoring systems; (2) systematic research and development to determine whether intelligent tutoring systems teach or how they teach is absent; (3) the development of ITS to date has lacked adequate empirical study and scholarship; and (4) intelligent tutoring systems remain the most promising area available for achieving a breakthrough in instruction. (28 references) (GL)
Publication Type: Information Analyses; Opinion Papers; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A