J 2017

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

GÉRYK, Jan

Basic information

Original name

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

Authors

GÉRYK, Jan (203 Czech Republic, guarantor, belonging to the institution)

Edition

Expert Systems, 2017, 0266-4720

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 1.430

RIV identification code

RIV/00216224:14330/17:00095878

Organization unit

Faculty of Informatics

UT WoS

000394618100006

Keywords in English

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

Tags

International impact, Reviewed
Změněno: 31/5/2022 17:31, RNDr. Pavel Šmerk, Ph.D.

Abstract

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.