Detailed Information on Publication Record
2017
Visual analytics of educational time-dependent data using interactive dynamic visualization
GÉRYK, JanBasic 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.