id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tdsdaz6vbfaqblkxi3toiegswq	Elena Verdú	A genetic fuzzy expert system for automatic question classification in a competitive learning environment	2012	8	.pdf	application/pdf	7522	672	62	In this context, it is important to correctly classify the questions to be presented to students according to their difficulty level. Therefore, a specific solution has been designed in order to determine the difficulty level of open questions in This paper discusses the validity of an expert system that automatically estimates the difficulty level of the questions posed in & Rijt, 2006) question the ability of teachers to make accurate difficulty level estimations of learning material since teachers usually of rules assumes a predefined set of fuzzy membership functions generated by human domain experts (Cordón, 2004). the initial difficulty level estimated by the teacher, it learns both the fuzzy expert system infers the difficulty level of each question. A genetic fuzzy expert system for automatic question classification in a competitive learning environment A genetic fuzzy expert system for automatic question classification in a competitive learning environment	./cache/work_tdsdaz6vbfaqblkxi3toiegswq.pdf	./txt/work_tdsdaz6vbfaqblkxi3toiegswq.txt