Automated Generation of Statistical Tasks

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Automated Generation of Statistical Tasks

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Article name in the collection

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

Number of pages

12

Pages from-to

47-58

Publisher name

Wolters Kluwer

Place of publication

Prague

Event location

Štúrovo

Event date

May 2, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000459255700004