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- W2406782049 abstract "The aim of this chapter is to present an exam preparation system designed to generate exams for propositional logic. The main challenge was to determine a filter to single out relevant problems. An expert assessment was used to generate initial learning data for Markov Logic Network and then the result was analyzed in terms of evaluation conducted on students. The results point out that there is no significant difference (p-value of 0.2708) between problems prepared by a human examiner and problems generated." @default.
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- W2406782049 date "2016-01-01" @default.
- W2406782049 modified "2023-09-23" @default.
- W2406782049 title "Automatic Item Generation for Elementary Logic Quizzes via Markov Logic Networks" @default.
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- W2406782049 doi "https://doi.org/10.4018/978-1-4666-9743-0.ch011" @default.
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