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	STUDIA INFORMATICA - Issue no. Sp.Issue%202 / 2009

	Article:	CONCEPT PAPER: GENERATING AND ASSESSING TEST PAPERS COMPLEXITY USING PREDICTIONS IN EVOLUTIONARY ALGORITHMS. Authors: TIBERIU BAN.


	Abstract: The aim of this paper is to present the theoretical approach to assess the complexity of a given test paper. The rationale behind this is that there are certain association rules that can be discovered between task types, acting in such way that if a student is likely to mistake one of the tasks, then we can say with a computable confidence level that the student will be very likely to mistake the other tasks from the same rule as well. Key words and phrases. association rules discovery, APriori algorithm, Evolutionary Algorithm, test paper complexity, data mining.




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