About this book
Introduction
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.
Keywords
Graph Sim Text algorithms classification knowledge learning organization simulation theory of knowledge
Bibliographic information
- DOI https://doi.org/10.1007/978-3-642-58625-5
- Copyright Information Springer-Verlag Berlin Heidelberg 1999
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Springer Book Archive
- Print ISBN 978-3-540-64501-6
- Online ISBN 978-3-642-58625-5
- Buy this book on publisher's site