BibTeX

@inProceedings{kanebrant-etal-2015-master-221987,
	title        = {T-MASTER -- A tool for assessing students' reading abilities},
	abstract     = {ABSTRACT: We present T-MASTER, a tool for assessing students' reading skills on a variety of dimensions. T-MASTER uses sophisticated measures for assessing a student's reading comprehension and vocabulary understanding. Texts are selected based on their difficulty using novel readability measures and tests are created based on the texts. The results are analyzed in T-MASTER, and the numerical results are mapped to textual descriptions that describe the student's reading abilities on the dimensions being analysed. These results are presented to the teacher in a form that is easily comprehensible, and lends itself to inspection of each individual student's results. },
	booktitle    = {Proceedings of the 7th International Conference on Computer Supported Education (CSED), Vol. 1, Ed. by Markus Helfert. May 23-25, 2015,  Lisbon, Portugal },
	author       = {Kanebrant, Erik and Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie and Jönsson, Arne and Liberg, Caroline and Geijerstam, Åsa af and Folkeryd, Jenny Wiksten and Falkenjack, Johan},
	year         = {2015},
	ISBN         = {978-989-758-107-6},
	pages        = {220--227},
}

@inProceedings{heimannmuhlenbock-etal-2015-multivariate-221988,
	title        = {A multivariate model for classifying texts' readability},
	abstract     = {We report on results from using the multi-variate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content , readability and genre in combination with the profile of a student's reading ability form the base of individually adapted texts. The procedure of levelling texts into different stages of complexity is presented along with results from the first cycle of tests conducted on 8th grade students. The results show that SVIT can be used to classify texts into different complexity levels.},
	booktitle    = {ACL Anthology - Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015). May 11–13, 2015 in Vilnius, Lithuania. },
	author       = {Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie and Liberg, Caroline and Geijerstam, Åsa af and Wiksten Folkeryd, Jenny and Jönsson, Arne and Kanebrant, Erik and Falkenjack, Johan},
	year         = {2015},
	volume       = {23},
	ISBN         = {978-91-7519-098-3},
	pages        = {257--261},
}