Automated Generation of Statistical Tasks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F18%3A43951834" target="_blank" >RIV/49777513:23510/18:43951834 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automated Generation of Statistical Tasks

Popis výsledku v původním jazyce

The contribution presents the use of automated generation of tasks in the field of statistics and statistical data analysis. The use of statistical data of a larger extent is the key problem when solving tasks from this field. These data collections enable practicing the problems of statistical analysis and application of corresponding tests of statistical interference. A proposal and implementation of the generation of random data of required qualities is shown in the contribution as these factors correspond to the instructions of the generated problem. Further in the contribution namely the integration of these data is shown in the form of a data file as part of the generated description of the task. The proposed solution shows two approaches: In the first one the created data file is stored as an integral part of the task definition in the repository of the applied LMS system. The second approach solves the problems of the attachment of the data file in cases when the output of the generating process is in PDF file. The data are stored in cloud in a chosen repository and the approach to them is implemented by means of a dynamic link generated in the text of the instruction of the generated task. The conclusion presents a proposal of a possible solution of storing the generated data in cloud in the repository and at the same time the solution of downloading the stored data to the output PDF file by means of dynamic links.

Název v anglickém jazyce

Automated Generation of Statistical Tasks

Popis výsledku anglicky

The contribution presents the use of automated generation of tasks in the field of statistics and statistical data analysis. The use of statistical data of a larger extent is the key problem when solving tasks from this field. These data collections enable practicing the problems of statistical analysis and application of corresponding tests of statistical interference. A proposal and implementation of the generation of random data of required qualities is shown in the contribution as these factors correspond to the instructions of the generated problem. Further in the contribution namely the integration of these data is shown in the form of a data file as part of the generated description of the task. The proposed solution shows two approaches: In the first one the created data file is stored as an integral part of the task definition in the repository of the applied LMS system. The second approach solves the problems of the attachment of the data file in cases when the output of the generating process is in PDF file. The data are stored in cloud in a chosen repository and the approach to them is implemented by means of a dynamic link generated in the text of the instruction of the generated task. The conclusion presents a proposal of a possible solution of storing the generated data in cloud in the repository and at the same time the solution of downloading the stored data to the output PDF file by means of dynamic links.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

DIVAI 2018 - 12th International Scientific Conference on Distance Learning in Applied Informatics

ISBN

978-80-7598-059-5

ISSN

2464-7470

e-ISSN

2464-7489

Počet stran výsledku

12

Strana od-do

47-58

Název nakladatele

Wolters Kluwer

Místo vydání

Prague

Místo konání akce

Štúrovo

Datum konání akce

2. 5. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000459255700004