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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Expert Systems

ISSN

0266-4720

e-ISSN

—

Svazek periodika

34

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

1-14

Kód UT WoS článku

000394618100006

EID výsledku v databázi Scopus

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