Visual analytics of educational time-dependent data using interactive dynamic visualization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00095878" target="_blank" >RIV/00216224:14330/17:00095878 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1111/exsy.12175" target="_blank" >http://dx.doi.org/10.1111/exsy.12175</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/exsy.12175" target="_blank" >10.1111/exsy.12175</a>

Result language

angličtina

Original language name

Visual analytics of educational time-dependent data using interactive dynamic visualization

Original language description

A major challenge in the modern educational research is the large amount of time-dependent data, which requires suitable methods to provide an efficient decision making. The fields of visual analytics and interactive visualization can help to cope with the related issues by involving the analyst in the exploration process. The time is an important variable that needs to be modeled in visual analytics. Methods like motion charts show the changes over time by presenting animations in the two-dimensional space and by changing the element appearances. In this paper, we present a novel web-based visual analytics framework, which is primarily designed for exploratory analysis of academic analytics and employs a combination of improved motion charts methods, trajectory-based visualizations, and automated analytic methods for the purpose of analyzing data elements based on their relations with the time dimension and examining data dynamics. We evaluate the usefulness and the general applicability of the framework with a controlled experiment to assess the efficacy of the methods. To interpret the experiment results, we utilize one-way repeated measures analysis of variance. Also, a questionnaire survey with experts was conducted to evaluate the usability of the methods.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

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

2017

Confidentiality

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

Name of the periodical

Expert Systems

ISSN

0266-4720

e-ISSN

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Volume of the periodical

34

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

1-14

UT code for WoS article

000394618100006

EID of the result in the Scopus database

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