具体描述
Knowledge spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessment of mathematical knowledge. From a mathematical standpoint, knowledge spaces generalize partially ordered sets. They are investigated both from a combinatorial and a stochastic viewpoint. The results are applied to real and simulated data. The book gives a systematic presentation of research and extends the results to new situations. It is of interest to mathematically oriented readers in education, computer science and combinatorics at research and graduate levels. The text contains numerous examples and exercises and an extensive bibliography.
作者简介
目录信息
Knowledge Structures and Spaces 18
WellGraded Knowledge Structures 44
Surmise Systems 62
Skill Maps Labels and Filters 86
Entailments and the Maximal Mesh 104
Galois Connections 120
Probabilistic Knowledge Structures 142
Stochastic Learning Paths 175
Descriptive and Assessment Languages 206
Special Cases 228
Uncovering the Latent State 235
Proofs 241
Combinatorial Assumptions on the Structure 254
Results for the Fair Case 260
Intractable Case 269
References 310
Index of Terms 325
Copyright
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