Exposing the Attraction of Data- An Examination and Application of Teaching Data Visualization in Multimedia Learning Mode From Theory to Practice

With the advent of the big data era, data visualization technology has grown in significance and become an essential core technology in the fields of statistical analysis and decision support. However, the current approaches of teaching the Data Visualization course tend to downplay the significance of theoretical knowledge in favor of developing students' practical skills with various information visualization technologies. When students are faced with complex facts, this teaching style, which prioritizes practice over theory, may result in a lack of deep analytical skills and creative thinking. Meanwhile, in order to reveal the charm of data, the process of transforming data information into visual form can significantly improve the presentation effect of data, and observe and browse the data in an intuitive and interactive way, so that it is easier to find the hidden features, relationships, and patterns in the data, which can provide powerful support for data analysis and decision-making.In order to create a naturally occurring combination of knowledge and application and better prepare students for the difficulties of the big data era, teaching Data Visualization educational programs using a blended learning approach requires maintaining a balance between the two.

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Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00130
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Exposing the Attraction of Data- An Examination and Application of Teaching Data Visualization in Multimedia Learning Mode From Theory to Practice

Mingyou Liu, Yingxue Zhu, Yue Wang, Sitong Liu
Online Learning and Analytics
article

Exposing the Attraction of Data- An Examination and Application of Teaching Data Visualization in Multimedia Learning Mode From Theory to Practice

Mingyou Liu, Yingxue Zhu, Yue Wang, Sitong Liu
article en

Abstract

With the advent of the big data era, data visualization technology has grown in significance and become an essential core technology in the fields of statistical analysis and decision support. However, the current approaches of teaching the Data Visualization course tend to downplay the significance of theoretical knowledge in favor of developing students' practical skills with various information visualization technologies. When students are faced with complex facts, this teaching style, which prioritizes practice over theory, may result in a lack of deep analytical skills and creative thinking. Meanwhile, in order to reveal the charm of data, the process of transforming data information into visual form can significantly improve the presentation effect of data, and observe and browse the data in an intuitive and interactive way, so that it is easier to find the hidden features, relationships, and patterns in the data, which can provide powerful support for data analysis and decision-making.In order to create a naturally occurring combination of knowledge and application and better prepare students for the difficulties of the big data era, teaching Data Visualization educational programs using a blended learning approach requires maintaining a balance between the two.

University of Nottingham Ningbo China (CN), Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN)
Guizhou Medical University
Quality Education
Openalex Percentile: Top 70%
Online Learning and Analytics
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Exposing the Attraction of Data- An Examination and Application of Teaching Data Visualization in Multimedia Learning Mode From Theory to Practice — Mingyou Liu, Yingxue Zhu, et al. · (2024) | TGRS Research Map | TGRS