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

J 2017

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

GÉRYK, Jan

Základní údaje

Originální název

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

Autoři

GÉRYK, Jan (203 Česká republika, garant, domácí)

Vydání

Expert Systems, 2017, 0266-4720

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.430

Kód RIV

RIV/00216224:14330/17:00095878

Organizační jednotka

Fakulta informatiky

DOI

http://dx.doi.org/10.1111/exsy.12175

UT WoS

000394618100006

EID Scopus

2-s2.0-84983428011

Klíčová slova anglicky

animation; cluster analysis; motion charts; trajectory analysis; visual analytics

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 5. 2022 17:31, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Citovat

GÉRYK, Jan. Visual analytics of educational time-dependent data using interactive dynamic visualization. Expert Systems. 2017, roč. 34, č. 1, s. 1-14. ISSN 0266-4720. Dostupné z: https://dx.doi.org/10.1111/exsy.12175.

@article{1353936,
   author = {Géryk, Jan},
   article_number = {1},
   doi = {http://dx.doi.org/10.1111/exsy.12175},
   keywords = {animation; cluster analysis; motion charts; trajectory analysis; visual analytics},
   language = {eng},
   issn = {0266-4720},
   journal = {Expert Systems},
   title = {Visual analytics of educational time-dependent data using interactive dynamic visualization},
   url = {http://dx.doi.org/10.1111/exsy.12175},
   volume = {34},
   year = {2017}
}

TY  - JOUR
ID  - 1353936
AU  - Géryk, Jan
PY  - 2017
TI  - Visual analytics of educational time-dependent data using interactive dynamic visualization
JF  - Expert Systems
VL  - 34
IS  - 1
SP  - 1-14
EP  - 1-14
SN  - 02664720
KW  - animation
KW  - cluster analysis
KW  - motion charts
KW  - trajectory analysis
KW  - visual analytics
UR  - http://dx.doi.org/10.1111/exsy.12175
N2  - 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.
ER  -

GÉRYK, Jan. Visual analytics of educational time-dependent data using interactive dynamic visualization. \textit{Expert Systems}. 2017, roč.~34, č.~1, s.~1-14. ISSN~0266-4720. Dostupné z: https://dx.doi.org/10.1111/exsy.12175.

Přehled o publikaci