Abstract
A large number of approaches for evaluating students’ knowledge are made available by the research community. Much less is known when it comes to discussing qualities of assessment materials. In this work we propose use of graphical representations of individual paths in self-evaluation processes for unveiling dependences between tests’ content, alternative answers and learning.
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Encheva, S. (2012). Individual Paths in Self-evaluation Processes. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_47
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DOI: https://doi.org/10.1007/978-3-642-34289-9_47
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