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Data Visualization in Online Educational Research

Data Visualization in Online Educational Research

Xue Wen, Xuan Wang
Copyright: © 2020 |Pages: 26
ISBN13: 9781799811732|ISBN10: 1799811735|EISBN13: 9781799811756
DOI: 10.4018/978-1-7998-1173-2.ch012
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MLA

Wen, Xue, and Xuan Wang. "Data Visualization in Online Educational Research." Advancing Educational Research With Emerging Technology, edited by Eugene Kennedy and Yufeng Qian, IGI Global, 2020, pp. 248-273. https://doi.org/10.4018/978-1-7998-1173-2.ch012

APA

Wen, X. & Wang, X. (2020). Data Visualization in Online Educational Research. In E. Kennedy & Y. Qian (Eds.), Advancing Educational Research With Emerging Technology (pp. 248-273). IGI Global. https://doi.org/10.4018/978-1-7998-1173-2.ch012

Chicago

Wen, Xue, and Xuan Wang. "Data Visualization in Online Educational Research." In Advancing Educational Research With Emerging Technology, edited by Eugene Kennedy and Yufeng Qian, 248-273. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1173-2.ch012

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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.

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