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Statements

Subject Item
n2:RIV%2F49777513%3A23510%2F14%3A43921994%21RIV15-MSM-23510___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The contribution presents an example of automatic generation of questions for quizzes in a Management Science course. We focus on the problem of building linear models. We are not aware of the fact there is any article dealing with the automatic generation of questions for this specific type of problems so we present our own approach. We used cloze questions for this type of problems. The cloze questions are the questions with embedded answers. The cloze questions allow more sub-questions of different types. We prefer the sub-questions with a multiple choice answer. We used the MATLAB system to generate questions created from randomly generated input parameters. The parameters are also a part of the possible answers. We try to solve the problem how to generate models with a feasible solution. The generated files are translated into the XML Moodle format and can be used for creating a question bank in LMS Moodle. Translating them into the LaTeX format and creating questions in PDF is another possibility. These tools are being used at our institution to create quizzes in a course of Financial Mathematics. We show how it applies to Management Science and in particular to building linear models. The contribution presents an example of automatic generation of questions for quizzes in a Management Science course. We focus on the problem of building linear models. We are not aware of the fact there is any article dealing with the automatic generation of questions for this specific type of problems so we present our own approach. We used cloze questions for this type of problems. The cloze questions are the questions with embedded answers. The cloze questions allow more sub-questions of different types. We prefer the sub-questions with a multiple choice answer. We used the MATLAB system to generate questions created from randomly generated input parameters. The parameters are also a part of the possible answers. We try to solve the problem how to generate models with a feasible solution. The generated files are translated into the XML Moodle format and can be used for creating a question bank in LMS Moodle. Translating them into the LaTeX format and creating questions in PDF is another possibility. These tools are being used at our institution to create quizzes in a course of Financial Mathematics. We show how it applies to Management Science and in particular to building linear models.
dcterms:title
Problems of Automatic Generation of Questions for the Purpose of Testing the Knowledge in a Management Science Course Problems of Automatic Generation of Questions for the Purpose of Testing the Knowledge in a Management Science Course
skos:prefLabel
Problems of Automatic Generation of Questions for the Purpose of Testing the Knowledge in a Management Science Course Problems of Automatic Generation of Questions for the Purpose of Testing the Knowledge in a Management Science Course
skos:notation
RIV/49777513:23510/14:43921994!RIV15-MSM-23510___
n3:aktivita
n11:V
n3:aktivity
V
n3:dodaniDat
n5:2015
n3:domaciTvurceVysledku
n4:5050235 n4:3379701
n3:druhVysledku
n18:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
39821
n3:idVysledku
RIV/49777513:23510/14:43921994
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Management Science; Linear programming; Cloze questions; Automatic generation; LMS Moodle
n3:klicoveSlovo
n6:Management%20Science n6:LMS%20Moodle n6:Automatic%20generation n6:Linear%20programming n6:Cloze%20questions
n3:kontrolniKodProRIV
[269D18793B84]
n3:mistoKonaniAkce
Štúrovo
n3:mistoVydani
Praha
n3:nazevZdroje
DIVAI 2014 - 10th International Scientific Conference on Distance Learning in Applied Informatics
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n5:2014
n3:tvurceVysledku
Gladavská, Lenka Plevný, Miroslav
n3:typAkce
n19:EUR
n3:zahajeniAkce
2014-05-05+02:00
s:numberOfPages
11
n13:hasPublisher
Wolters Kluwer
n12:isbn
978-80-7478-497-2
n14:organizacniJednotka
23510