Data Visualization in Online Educational Research

Abstract

This chapter presents a general and practical guideline that is intended to introduce the traditional visualization methods (word clouds), and the advanced visualization methods including interactive visualization (heatmap matrix) and dynamic visualization (dashboard), which can be applied in quantitative, qualitative, and mixed-methods research. This chapter also presents the potentials of each visualization method for assisting researchers in choosing the most appropriate one in the web-based research study. Graduate students, educational researchers, and practitioners can contribute to take strengths from each visual analytical method to enhance the reach of significant research findings into the public sphere. By leveraging the novel visualization techniques used in the web-based research study, while staying true to the analytical methods of research design, graduate students, educational researchers, and practitioners will gain a broader understanding of big data and analytics for data use and representation in the field of education.

Visualizing Educational Information: Primary School Teachers’ Views

“…Volume I, May 24 th , 2024. 573-584 575 suggests considering visualization as "a visual demonstration of information in the form of tables, diagrams and graphs", and Ursyn (2015) -transmitting information using its graphical representation Derived from understanding visualization as a visual process, Zheng (2008) defines visualization as a method of conveying abstract and concrete ideas through the creation of images, diagrams, or animations and Wen & Wang (2020) define this concept as a data analysis method that focuses on the external representation of abstract or concrete ideas (image, diagram, animation etc.) to help understand the content of expressed information.…”