Intelligent Tutoring SystemsDepartment of Artificial Intelligence, University of Edinburgh, 1987 - Artificial intelligence - 12 pages |
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Page 4
Peter Ross. • a student model a set of teaching strategies • a teaching generator , that orchestrates information from the above three to produce output • a teaching administrator component responsible for overall control Specifications ...
Peter Ross. • a student model a set of teaching strategies • a teaching generator , that orchestrates information from the above three to produce output • a teaching administrator component responsible for overall control Specifications ...
Page 7
... component of an ITS although it is useful as it stands . It has been tested on thousands of students . GREATERP [ Reiser 86 ] teaches elementary LISP , and has many features in common with PROUST's methods , although its unit of input ...
... component of an ITS although it is useful as it stands . It has been tested on thousands of students . GREATERP [ Reiser 86 ] teaches elementary LISP , and has many features in common with PROUST's methods , although its unit of input ...
Page 8
... tutoring component criticises his actions as he tries to fix the problems . This system runs on a PC / AT . Systems of this ilk , consisting of a good simulation coupled with a tutoring component , are perhaps the most promising kind at ...
... tutoring component criticises his actions as he tries to fix the problems . This system runs on a PC / AT . Systems of this ilk , consisting of a good simulation coupled with a tutoring component , are perhaps the most promising kind at ...
Common terms and phrases
85 LISP programming ALGEBRA analysis Anderson Anderson's ACT theory answer apply arithmetic artificial intelligence assumptions BASIC programming BUGGY bugs characterise cognitive computer program created language DEBUG diagnostic system dialogue domain Edinburgh educational decision electricity equation example explicit model goals grammar GREATERP Hartley human teacher ideas ingredients initial set Intelligent tutoring systems introductory ITSs kind knowledge of teaching learn LISP LIBRARY LISP-ITS LOGO MACSYMA meaningless symbols medical diagnosis normal notion offer Ohm's law output Pascal programming possible misconceptions present algorithms problem problem-solving produce PROLOG proofs tool PROUST Johnson 84 QUADRATIC Recovery Boiler relationships SANTA CRUZ semantics set of expressions SIERRA simple linear simulation skills solve specialised specific student model subsume taught teaching strategies techniques tend TUTOR 85 tutoring component type of errors types of CAI unit of input UNIVERSITY OF CALIFORNIA user input user modelling user's user's input VGSdomain VGSer VGSteaching vocabulary