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Data Analysis of Senior Computer Literacy

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901648" target="_blank" >RIV/00216275:25410/16:39901648 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Data Analysis of Senior Computer Literacy

  • Popis výsledku v původním jazyce

    To outline the situation in area of seniors computer literacy in given sample of the population was the objective of this paper. More precisely, it deals with the level of a computer literacy of seniors and with classification this level on the basis monitored attributes. The data collection was realised on the basis cooperation with the senior centre and senior's clubs in city Pardubice. In total 407 seniors participated in this data survey. The data was evaluated in MS Excel and new output attribute based on the European Computer Driving Licence concept was created. The attribute represent a preparation of respondents to obtain the European Computer Driving Licence Certificate on the basis of computer skills. Seniors that do not use computer or notebook were discarded from the data set. The final data set included 252 seniors described by 29 attributes. Classification models were created in IBM SPSS Modeler on the basis new output attribute and selected inputs e.g. sociodemographic attributes, barriers in use of the Internet and purpose of computer use. Algorithms of decision trees as C5.0, CRT, CHAID, QUEST were chosen for solution of mentioned task. The best results of classification were achieved by C5.0 with boosting. The accuracy rate on the testing data set was 91.74%.

  • Název v anglickém jazyce

    Data Analysis of Senior Computer Literacy

  • Popis výsledku anglicky

    To outline the situation in area of seniors computer literacy in given sample of the population was the objective of this paper. More precisely, it deals with the level of a computer literacy of seniors and with classification this level on the basis monitored attributes. The data collection was realised on the basis cooperation with the senior centre and senior's clubs in city Pardubice. In total 407 seniors participated in this data survey. The data was evaluated in MS Excel and new output attribute based on the European Computer Driving Licence concept was created. The attribute represent a preparation of respondents to obtain the European Computer Driving Licence Certificate on the basis of computer skills. Seniors that do not use computer or notebook were discarded from the data set. The final data set included 252 seniors described by 29 attributes. Classification models were created in IBM SPSS Modeler on the basis new output attribute and selected inputs e.g. sociodemographic attributes, barriers in use of the Internet and purpose of computer use. Algorithms of decision trees as C5.0, CRT, CHAID, QUEST were chosen for solution of mentioned task. The best results of classification were achieved by C5.0 with boosting. The accuracy rate on the testing data set was 91.74%.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

    IN - Informatika

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    DIVAI 2016 - 11th International Scientific Conference on Distance Learning in Applied Informatics

  • ISBN

    978-80-7552-249-8

  • ISSN

    2464-7470

  • e-ISSN

  • Počet stran výsledku

    10

  • Strana od-do

    541-550

  • Název nakladatele

    Wolters Kluwer ČR, a. s.

  • Místo vydání

    Praha

  • Místo konání akce

    Štúrovo

  • Datum konání akce

    2. 5. 2016

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000386971000047