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Sleeman D., Brown J.S. — Intelligent tutoring systems
Sleeman D., Brown J.S. — Intelligent tutoring systems



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Íàçâàíèå: Intelligent tutoring systems

Àâòîðû: Sleeman D., Brown J.S.

Àííîòàöèÿ:

The first volume to appear on this topic and now a classic in the field, "Intelligent Tutoring Systems" provides the reader with descriptions of the major systems implemented before 1981. The introduction seeks to emphasise the principal contributions made in the field, to outline continuing research issues, and to relate these to research activities in artificial intelligence and cognitive science. Subject areas discussed are as varied as arithmetic, algebra, electronics, and medicine, together with some informal gaming environments


ßçûê: en

Ðóáðèêà: Computer science/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1988

Êîëè÷åñòâî ñòðàíèö: 345

Äîáàâëåíà â êàòàëîã: 09.12.2005

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Extrapolation technique, linearity      27 28 29—33 47
Failure states      291 295 296 300 301 302 303 304
Faught, W.S.      208
Feature recognizer      96
Feigenbaum, E.A.      204
Feurzeig, W.      203
Fischer, G.      80
Flow      132
Focus record      209 214 215 223
Forgetting      75 94
Frame problem      309 328
Friend, J.      160 167
Frontier tutoring      64 65 66—67
Function block model      233 234
function templates      213
Fuzzy parsing      5 244
Gaming environments      3 51 54 79 228 230
Gaming environments, alternative strategies      94—96
Gaming environments, graphics and      92
Gaming environments, SOPHIE      236—237
Gaming environments, student strategy      86 90
Gaming environments, tutoring strategies and      89
Gaming environments, WEST      85—89 92
Gaming environments, WUMPUS      54—76
Generalization      27 36 47 71 74 75
Generalization, genetic graph and      51 53 56 58 61 64
Generalization, student overlay model and      68
Genesereth, M.R.      6 132 140 141
Genetic graph      51—76
Genetic graph, belief measure and      73—74 75
Genetic graph, declarative knowledge and      61
Genetic graph, islands of rules and      61 64
Genetic graph, learning and      70—75
Genetic graph, multiple explanations      65—66 67
Genetic graph, planning knowledge and      62—63
Genetic graph, simulated student testbed and      58—59
Genetic graph, student overlay model and      67—70
Genetic graph, syllabus and      56—59
Genetic graph, tutoring and      64—67 75
Genetic method      52
Gentner, D.R.      132
Geography      51 53 132
Goldberg, A,      309
Goldin, S.E      3
Goldstein, I.P.      3 4 6 47 51 52 54 58 67 68 80 81 88 96 115 116 121 124 130 131 132 140 185 201 206 207 214 215
Goodman, N.      36
Gould, L      53
Grammar, alternative strategy detection      96
Grammar, complex explanations      100—101
Grammar, representations      243—244
Grammar, semantic      5 239 240 243—244
Greenawalt, M      321
Grimson, E.      58
Grosz, B.      241
GUIDON      3 5 9 81 201—223
GUIDON, abstraction level      202 213 223
GUIDON, case syllabus      209 214—215 223
GUIDON, domain knowledge organization      210—214
GUIDON, entrapment, student      218 219
GUIDON, explaining expert reasoning      202 204—205
GUIDON, flexibility      206 208 214 222 223
GUIDON, focus record      209 214 215 223
GUIDON, form of expertise      206—207
GUIDON, hypothesis evaluation      218—222
GUIDON, interestingness      217—218
GUIDON, key factors      213 214
GUIDON, model of enquiry      207
GUIDON, performance knowledge      210—211 213 223
GUIDON, problem solving trace      214 223
GUIDON, question formats      222
GUIDON, student model      202 209 214 220—221 223
GUIDON, support level      202 207 211—213 223
GUIDON, teaching expertise      201 202 203 204 222
GUIDON, tutorial interaction      201 202 203 204—208 209—210 211 215—218 222 223
GUS      5 117
Hartley, J.R.      1 185 207 310 312
Hayes, P.      328
Hearn, A, C      300
Heiser, J.F.      204
Hendley, R.J.      2 4 5 81 100 112 114 243
Hendrix, G.      112 243
Hewitt, C      132 310 318
Hill-climbing algorithm      169 309 328
hints      92 132 206 295 296
Hints, issues as      88—89
Howard, R.      298
Hughes, C E.      318
Hypotheses, student      227 228 232—233 235
Hypotheses, student, black box expert and      81
Hypotheses, student, electronic troubleshooting      252
Hypotheses, student, evaluation      249
Hypotheses, student, games      79
Hypotheses, student, teams and      237
IDEBUGGY      167 173—177
IDEBUGGY, hypotheses set      174
IDEBUGGY, logical equivalence      176—177
IDEBUGGY, problem generation      175—176
IDEBUGGY, task order strategy      173—174
Identification      123
Incomplete database      4
Inconsistent database      4
Infectious disease      201—223
Informal learning environment      79—98
Informal learning environment, interest and      91
Interactive diagnostic system      173—177
Interactive learning environment      227
Interlisp      9 209 210 243
interruption      see “Intervention strategy”
Intervention strategy      71—72 80 90 94 128 132 228 254 296 312
Intervention strategy, discovery learning and      89
Intervention strategy, socratic      66
Intervention strategy, student interest and      91
Islands, grouped rule      61
Issue evaluator      83 85 87 93
Issue evaluator, noise and      94
Issue recognizer      83—85 87 96
Issues and examples paradigm      80 83—85
Kaplan, R.      123 131
Kaput, J.      44
Kay, A.      284
Kay, M.      123 131
Keisler, E.R.      310
Kibbey, D.      85 329
Kieran, C      43
Kimball, R.A.      1 2 185 307 310
King, J.J.      202
Kirchoff’s voltage law      256 257
Koffman, E      54 214 309
Kulikowski, C.A.      204
Laboratory instructor      2 9 228 229
Larkin, K.      52
Learning coach      see “Coach”
Learning complexity      53 69 74
Learning discontinuities      291 292 301—303 305
Learning natural language      82
Learning reactive environment      51 152—153 229
Learning skills      72—73
Learning student      69 94
Learning theory of      3 9 70—75
Leeds Modelling System (LMS)      1 185—198
Leeds Modelling System (LMS), equivalent model elimination      187
Leeds Modelling System (LMS), noisy data      7
Leeds Modelling System (LMS), redundant rules      197
Leeds Modelling System (LMS), search space reduction      187
Leeds Modelling System (LMS), speed      197
Leeds Modelling System (LMS), student modelling      6 185 187—189
Leeds Modelling System (LMS), teaching models      187 189
Lenat, D B.      201
Lewis, C      42 47
LIFER      112 113 243
Limited didactic systems      120 133
Lindsay, R.K.      245
Linearity      27 29—33 36 42 47
Linearity, errors      29—33
Lisp      132 148 159 243 244 179 284 300 315 321
LOGO, programs      58
LOGO, Turtle      120—132 284
Lyrical interposition hypothesis      46
Machine, language programming      54
Machine, troubleshooting      289
Macsyma      83 138—139
MACSYMA Advisor      3 132 137—154
MACSYMA Advisor, advice generation      151—152
Mal-rules      4 6
Mal-rules, global      196 197
Mal-rules, Production Rule representation      187
Mal-rules, student modelling      185 186 194 196—197
MALT      54
MARC      223
Matz, M.      4 27 32 151 185 197
McCarthy, J.      328
Medical diagnosis      3 8 201—223 289
Mental models      279—280
Meta-DENDRAL      7 197
Meta-game      96 98
Meta-rules      62
Meteorology      3 185
Microcomputers      238—239 244
Millet, M.L.      3 7 96 115 124 131 140
Mineral exploration sites      204
Minsky, M.      48
Misconceptions      see “Bugs” and “Mal-rules”
Mistyping      92 189
Mitchell, T.M      198
Mitie Corporation      329
Mixed-initiative instructional system      201 206 223
Mixed-initiative instructional system, elementary programming      119
Mixed-initiative instructional system, modelling methodology and      94
Moore, J.      56
Multiple viewpoints      13 15 23 24
Muntei, P.      203
MUSER      141 152
MUSER, goals      142
MUSER, plans      142—146 147
MYCIN      114 201—223 328
MYCIN, explanation facility      141
MYCIN, knowledge base      203
MYCIN, production rule formalism      202—203
Nagel, L.W.      227
Naive diagnostic system      161—162 167
Name-process convention      37
Natural language interface, abbreviations      242—243
Natural language interface, argument re-use      241
Natural language interface, argument replacement      241
Natural language interface, complex explanations      99 107—108
Natural language interface, function-name re-use      241
Natural language interface, fuzzy parsing      5 244
Natural language interface, grammar      116 239 240 243
Natural language interface, habitable      5 111
Natural language interface, incomplete arguments      115
Natural language interface, noise words      112 116
Natural language interface, paraphrase and      241—142
Natural language interface, PSM-NMR system      99 107—108
Natural language interface, SOPHIE      239—244
Natural language interface, spelling corrections      242—243
Natural language interface, system capability and      243
Newell, A.      56 132
Norman, D.A.      132
Nuclear Magnetic Resonance (NMR) troscopy      2 51 99—117 132 243
Ohm’s Law      257 259 264 270
O’Shea, T      1 93 185 315 322
Papert, S.      81 120 132 284
Pask, G.      99 309
Passafiume, I.      52
Pederson, D.O.      227
Piaget, J.      52 75 76
plans      132 137—154
Plans, algebraic problem solving      43—45
Plans, bugs, detection from      140—141 148—151 154
Plans, chart, use of      123
Plans, constraint propagation      43—44
Plans, decomposition procedures      123
Plans, dependency graph      141—147 154
Plans, elementary programming      119 120 122—123 133
Plans, genetic graph representation      62—63
Plans, goal identification      43 44 45 141 142
Plans, means-ends analysis      43
Plans, recognition      137 139—140 147—150 152 153 154
Plans, reformulation procedures      122 123
Plans, remediation and      137 140—141 152
Plans, student      137—139 150—151
Plato      85 329
Pople, H.E.      201 204
Problem length threshold      297—298
Problem Solution Graph      101 102 109
Problem solving behaviour      25 26 27 47
Problem solving behaviour, algebra      25—48
Problem solving behaviour, elementary programming      121—122 124
Problem solving behaviour, extrapolation technique      25 26 27 28 29—33 35—36 47
Problem solving behaviour, failure states      291 295 296—297 300 301 302 303 304
Problem solving behaviour, generalization      see “Generalization”
Problem solving behaviour, goal orientated      43 44 45
Problem solving behaviour, improvement      303—304
Problem solving behaviour, learning discontinuities      291 292 301—303 305
Problem solving behaviour, phases      121—122
Problem solving behaviour, planning and      43—45 122—124
Problem solving behaviour, symbolic integration      288 289—292
Problem Solving Graph      101 102 109
Problem Solving Monitor (PSM-NMR system)      2 99—117
Problem Solving Monitor (PSM-NMR system), back tracking facility      110—111 115
Problem Solving Monitor (PSM-NMR system), comparison algorithm      108—111 114
Problem Solving Monitor (PSM-NMR system), complete explanation      101 102
Problem Solving Monitor (PSM-NMR system), EXPLAIN mode      99
Problem Solving Monitor (PSM-NMR system), focus, student      115
Problem Solving Monitor (PSM-NMR system), FSR (Following Students Reasoning) mode      99 11—104 107—108 113—115
Problem Solving Monitor (PSM-NMR system), global assertions      101 103—104 115
Problem Solving Monitor (PSM-NMR system), HELP mode      99
Problem Solving Monitor (PSM-NMR system), incomplete arguments      101 102—103 115 116—117
Problem Solving Monitor (PSM-NMR system), inconsistent arguments      101
Problem Solving Monitor (PSM-NMR system), natural language facility      99 107—108 111—114 116
Problem Solving Monitor (PSM-NMR system), Problem Solution Graph (PSG)      101 102 109
Problem Solving Monitor (PSM-NMR system), segmentation algorithm      116
Problem Solving Monitor (PSM-NMR system), types of omission      114—115
Procedural knowledge representation      51—76
Procedural knowledge representation, goals and      159
Procedural knowledge representation, islands of grouped rules      61 76
Procedural knowledge representation, network model      158—159 161 167
Program verification      147—148
Programming, elementary      54 119—133
Programming, elementary, chart, use of      123
Programming, elementary, debugging techniques      119 122 123 124 127 129 130
Programming, elementary, decomposition procedure      123
Programming, elementary, identification procedure      123
Programming, elementary, modelling      121—124
Programming, elementary, planning strategies      119 120 122—123 129—130
Programming, elementary, reformulation procedure      122 123
Programming, elementary, Turtle graphics      120—132
Programming, elementary, tutor      see “Coach”
Prospector      204
Psychiatric drug therapy      204
Pulmonary function tests      204
Quadratic tutor, deduction procedure      318—320 322
Quadratic tutor, production rules      331—334
Range arithmetic      259 261—262
Reactive learning environments      51 152—153 229
Reduce      300
refinement      51 56 57 61 71 75
Refinement, student overlay model and      68
Reformulation      122 123
Reiger, C.      280
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