Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences

Jessica Brandenburger; Manfred Constapel; Horst Hellbrück; Monique Janneck

doi:10.1007/978-3-030-20135-7_35

Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences

Jessica Brandenburger^*, Manfred Constapel, Horst Hellbrück, Monique Janneck

^*Corresponding author for this work

Institute of Telematics

5 Citations (Scopus)

Abstract

In this paper we investigate different visualizations of learners’ data related to collaborative online learning in terms of suitability and attractiveness to students. Furthermore, we analyze whether positioning and color appearance of these data visualizations might have an effect on learners’ behavior. To that end, we conducted an online study (n = 120) as well as an eye tracking study (n = 20) to compare different types of visualizations. Results show that students prefer classical data visualizations like bar charts. Visualizations placed in the sidebar of a two column web interface get less attention than visualizations in the header of the main content area. Color schemes do not seem to influence the perception of visualizations. We discuss possible explanations and implications for designing data visualizations in learning environments.

Original language	English
Title of host publication	AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences
Editors	Waldemar Karwowski, Tareq Ahram, Salman Nazir
Number of pages	12
Volume	963
Publisher	Springer, Cham
Publication date	02.06.2020
Pages	355-366
ISBN (Print)	978-3-030-20134-0
ISBN (Electronic)	978-3-030-20135-7
DOIs	https://doi.org/10.1007/978-3-030-20135-7_35
Publication status	Published - 02.06.2020
Event	AHFE International Conference on Human Factors in Training, Education, and Learning Sciences - Washington D.C., United States Duration: 24.07.2019 → 28.07.2019 Conference number: 226699

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

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Cite this

Brandenburger, J., Constapel, M., Hellbrück, H., & Janneck, M. (2020). Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences. In W. Karwowski, T. Ahram, & S. Nazir (Eds.), AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences (Vol. 963, pp. 355-366). (Advances in Intelligent Systems and Computing; Vol. 963). Springer, Cham. https://doi.org/10.1007/978-3-030-20135-7_35

Brandenburger, Jessica ; Constapel, Manfred ; Hellbrück, Horst et al. / Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences. AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences. editor / Waldemar Karwowski ; Tareq Ahram ; Salman Nazir. Vol. 963 Springer, Cham, 2020. pp. 355-366 (Advances in Intelligent Systems and Computing).

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title = "Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences",

abstract = "In this paper we investigate different visualizations of learners{\textquoteright} data related to collaborative online learning in terms of suitability and attractiveness to students. Furthermore, we analyze whether positioning and color appearance of these data visualizations might have an effect on learners{\textquoteright} behavior. To that end, we conducted an online study (n = 120) as well as an eye tracking study (n = 20) to compare different types of visualizations. Results show that students prefer classical data visualizations like bar charts. Visualizations placed in the sidebar of a two column web interface get less attention than visualizations in the header of the main content area. Color schemes do not seem to influence the perception of visualizations. We discuss possible explanations and implications for designing data visualizations in learning environments.",

author = "Jessica Brandenburger and Manfred Constapel and Horst Hellbr{\"u}ck and Monique Janneck",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; AHFE International Conference on Human Factors in Training, Education, and Learning Sciences ; Conference date: 24-07-2019 Through 28-07-2019",

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Brandenburger, J, Constapel, M, Hellbrück, H & Janneck, M 2020, Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences. in W Karwowski, T Ahram & S Nazir (eds), AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences. vol. 963, Advances in Intelligent Systems and Computing, vol. 963, Springer, Cham, pp. 355-366, AHFE International Conference on Human Factors in Training, Education, and Learning Sciences , Washington D.C., Washington, United States, 24.07.19. https://doi.org/10.1007/978-3-030-20135-7_35

Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences. / Brandenburger, Jessica; Constapel, Manfred; Hellbrück, Horst et al.
AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences. ed. / Waldemar Karwowski; Tareq Ahram; Salman Nazir. Vol. 963 Springer, Cham, 2020. p. 355-366 (Advances in Intelligent Systems and Computing; Vol. 963).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences

AU - Brandenburger, Jessica

AU - Constapel, Manfred

AU - Hellbrück, Horst

AU - Janneck, Monique

N1 - Conference code: 226699

PY - 2020/6/2

Y1 - 2020/6/2

N2 - In this paper we investigate different visualizations of learners’ data related to collaborative online learning in terms of suitability and attractiveness to students. Furthermore, we analyze whether positioning and color appearance of these data visualizations might have an effect on learners’ behavior. To that end, we conducted an online study (n = 120) as well as an eye tracking study (n = 20) to compare different types of visualizations. Results show that students prefer classical data visualizations like bar charts. Visualizations placed in the sidebar of a two column web interface get less attention than visualizations in the header of the main content area. Color schemes do not seem to influence the perception of visualizations. We discuss possible explanations and implications for designing data visualizations in learning environments.

AB - In this paper we investigate different visualizations of learners’ data related to collaborative online learning in terms of suitability and attractiveness to students. Furthermore, we analyze whether positioning and color appearance of these data visualizations might have an effect on learners’ behavior. To that end, we conducted an online study (n = 120) as well as an eye tracking study (n = 20) to compare different types of visualizations. Results show that students prefer classical data visualizations like bar charts. Visualizations placed in the sidebar of a two column web interface get less attention than visualizations in the header of the main content area. Color schemes do not seem to influence the perception of visualizations. We discuss possible explanations and implications for designing data visualizations in learning environments.

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Brandenburger J, Constapel M, Hellbrück H, Janneck M. Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences. In Karwowski W, Ahram T, Nazir S, editors, AHFE 2019: Advances in Human Factors in Training, Education, and Learning Sciences. Vol. 963. Springer, Cham. 2020. p. 355-366. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-20135-7_35

Analysis of Types, Positioning and Appearance of Visualizations in Online Teaching Environments to Improve Learning Experiences

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