Abstract
The goal of this paper is to develop a theoretical framework for efficient assessment of learners’ understanding of carefully chosen terms and concepts. The model is based on the theory of knowledge spaces and lattices of convex geometries. The structure of the latter is used to select only knowledge states that imply understanding of key ideas and minimize the effect of lucky guesses while determining learner’s knowledge.
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© 2006 International Federation for Information Processing
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Encheva, S., Tumin, S. (2006). Efficient Knowledge Assessment Based on Convex Geometries. In: Shi, Z., Shimohara, K., Feng, D. (eds) Intelligent Information Processing III. IIP 2006. IFIP International Federation for Information Processing, vol 228. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-44641-7_20
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DOI: https://doi.org/10.1007/978-0-387-44641-7_20
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-44639-4
Online ISBN: 978-0-387-44641-7
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