Visual analytics of educational time‐dependent data using interactive dynamic visualization
2017
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.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
36
References
5
Citations
NaN
KQI