Title: | On Possibility of Automatic Generation of Data Files and their Use in Tasks of Descriptive Statistics |
Authors: | Gangur, Mikuláš Sova Martinovský, Václav |
Citation: | GANGUR, M., SOVA MARTINOVSKÝ, V. On Possibility of Automatic Generation of Data Files and their Use in Tasks of Descriptive Statistics. In Proceedings of the 11th International Conference on Computer Supported Education (CSEDU 2019),. Lisabon: SCITEPRESS – Science and Technology Publications, 2019. s. 446-453. ISBN 978-989-758-367-4. |
Issue Date: | 2019 |
Publisher: | SCITEPRESS – Science and Technology Publications |
Document type: | konferenční příspěvek conferenceObject |
URI: | 2-s2.0-85067091453 http://hdl.handle.net/11025/35584 |
ISBN: | 978-989-758-367-4 |
Keywords in different language: | Quiz, Question with Data File, Descriptive Statistics, Automatic Generation, Moodle XML, LMS Moodle. |
Abstract in different language: | The contribution deals with the use of automatic generation of parameterized tasks and the inclusion of automatically generated data files as useful feature of generator. This functionality of the generator is used, for example, in tasks of statistical data analysis. The contribution shows usage when generating a descriptive statistics tasks. The basic principles of preparation of statistical data in both sample and population files are described. Methods of integrating these data into the generated task for different output formats are also explained. Selected group of tasks illustrating the outputs of the application of the described methods are presented. The use of a generator for building a Question bank in LMS Moodle is shown as well as the preparation of writing tests. At the same time, various data files storage options and subsequent use with regard to their lifetime are discussed. In the following, a new solution for the implementation of the automatic generator of parameterized tasks in cloud is introduced. This approach will allow the involvement of more users of the automatic generator. |
Rights: | Plný text není přístupný. © SCITEPRESS – Science and Technology Publications |
Appears in Collections: | Konferenční příspěvky / Conference papers (KEM) OBD |
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CSEDU_2019_121.pdf | 1,79 MB | Adobe PDF | View/Open Request a copy |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/35584
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