Abstract
In many practical situations, it is desirable that the students learn all the parts of the material. It is therefore desirable to set up a grading scheme that encourages such learning. We show that the usual scheme of computing the overall grade for the class – as a weighted average of grades for different assignments and exams – does not always encourage such learning.
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References
O. Kosheleva, How to make sure that the grading scheme encourages students to learn all the material: fuzzy-motivated solution and its justification, in Proceedings of the World Conference on Soft Computing, ed. by R.R. Yager, M.Z. Reformat, S.N. Shahbazova, S. Ovchinnikov (CA, San Francisco, 2011), pp. 23–26
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Kosheleva, O., Villaverde, K. (2018). How to Assess Students: Beyond Weighted Average. In: How Interval and Fuzzy Techniques Can Improve Teaching. Studies in Computational Intelligence, vol 750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55993-2_33
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DOI: https://doi.org/10.1007/978-3-662-55993-2_33
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