short-paper

Towards data storytelling to support teaching and learning

Authors:

Vanessa Echeverria,

Roberto Martinez-Maldonado,

Simon Buckingham ShumAuthors Info & Claims

OzCHI '17: Proceedings of the 29th Australian Conference on Computer-Human Interaction

Pages 347 - 351

https://doi.org/10.1145/3152771.3156134

Published: 28 November 2017 Publication History

Abstract

Data science is now impacting the educational sector, with a growing number of commercial products and research prototypes providing learning dashboards as feedback for both educators and students. From a human-centred computing perspective, the end-user's interpretation of these visualisations is a critical challenge to design for, with empirical evidence already showing that `usable' visualisations are not necessarily effective from a teaching and learning perspective. Since an educator's interpretation of visualised data is essentially the construction of a narrative about that student's progress, we draw on the growing body of work on `Data Storytelling' (DS) as the inspiration for a set of enhancements that could be applied to data visualisations to improve their communicative power. We present a pilot study that explores the effectiveness of these DS elements based on educators' responses to paper prototypes. The dual purpose is understanding the contribution of each visual element for data storytelling, and the effectiveness of the enhancements when combined. The results suggest that DS elements could add clarity, especially when there are multiple possible stories in a complex visualisation.

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Cited By

Trim MButler ESuttcliffe C(2024)Seeing How the Sausage is Made: Data Storytelling as Means and Method in a Computer Science Writing CourseProceedings of the 42nd ACM International Conference on Design of Communication10.1145/3641237.3691673(217-222)Online publication date: 20-Oct-2024
https://dl.acm.org/doi/10.1145/3641237.3691673
Shao HMartinez-Maldonado REcheverria VYan LGasevic D(2024)Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3643022(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3643022
Crawford-Visbal JTirado LSaltachin LMeza D(2024)Teaching Data Storytelling in a Computational Thinking Course for Students in Communications CareersInteractive Storytelling10.1007/978-3-031-78450-7_11(175-185)Online publication date: 19-Dec-2024
https://doi.org/10.1007/978-3-031-78450-7_11
Show More Cited By

Index Terms

Towards data storytelling to support teaching and learning
1. Applied computing
  1. Education
    1. Interactive learning environments
2. Human-centered computing
  1. Visualization
    1. Empirical studies in visualization

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Published In

cover image ACM Other conferences

OzCHI '17: Proceedings of the 29th Australian Conference on Computer-Human Interaction

November 2017

678 pages

ISBN:9781450353793

DOI:10.1145/3152771

Conference Chair:
Margot Brereton
Queensland University of Technology
,
Editors:
Alessandro Soro
Queensland University of Technology
,
Dhaval Vyas
Queensland University of Technology
,
Bernd Ploderer
Queensland University of Technology
,
Ann Morrison
University of Southern Queensland
,
Jenny Waycott
University of Melbourne
,
Margot Brereton
Queensland University of Technology

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2017

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OzCHI '17

OzCHI '17: 29th Australian Conference on Human-Computer Interaction

November 28 - December 1, 2017

Queensland, Brisbane, Australia

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OzCHI '17 Paper Acceptance Rate 74 of 157 submissions, 47%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

Trim MButler ESuttcliffe C(2024)Seeing How the Sausage is Made: Data Storytelling as Means and Method in a Computer Science Writing CourseProceedings of the 42nd ACM International Conference on Design of Communication10.1145/3641237.3691673(217-222)Online publication date: 20-Oct-2024
https://dl.acm.org/doi/10.1145/3641237.3691673
Shao HMartinez-Maldonado REcheverria VYan LGasevic D(2024)Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3643022(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3643022
Crawford-Visbal JTirado LSaltachin LMeza D(2024)Teaching Data Storytelling in a Computational Thinking Course for Students in Communications CareersInteractive Storytelling10.1007/978-3-031-78450-7_11(175-185)Online publication date: 19-Dec-2024
https://doi.org/10.1007/978-3-031-78450-7_11
Tylosky NKnutas AWolff A(2023)Principles for Designing for Data Exploration for a Non-Expert Audience2023 46th MIPRO ICT and Electronics Convention (MIPRO)10.23919/MIPRO57284.2023.10159742(88-91)Online publication date: 22-May-2023
https://doi.org/10.23919/MIPRO57284.2023.10159742
Gauthier ARizvi SCukurova MMavrikis M(2022)Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biasesFrontiers in Artificial Intelligence10.3389/frai.2022.9949675Online publication date: 11-Oct-2022
https://doi.org/10.3389/frai.2022.994967
Zdanovic DLembcke TBogers TElsweiler DKruschwitz ULudwig B(2022)The Influence of Data Storytelling on the Ability to Recall InformationProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505755(67-77)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505755
Zanan MAziz M(2022)A Review On The Visual Design Styles In Data Storytelling Based On User Preferences And Personality Differences2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA)10.1109/ICITDA55840.2022.9971409(1-7)Online publication date: 4-Nov-2022
https://doi.org/10.1109/ICITDA55840.2022.9971409
Saint JGašević DMatcha WUzir NPardo ARensing CDrachsler HKovanović VPinkwart NScheffel MVerbert K(2020)Combining analytic methods to unlock sequential and temporal patterns of self-regulated learningProceedings of the Tenth International Conference on Learning Analytics & Knowledge10.1145/3375462.3375487(402-411)Online publication date: 23-Mar-2020
https://dl.acm.org/doi/10.1145/3375462.3375487
Gorkovenko KLischke LWoźniak PBratteteig TSandnes FBerget G(2018)Large displays and tabletsProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240192(664-675)Online publication date: 29-Sep-2018
https://dl.acm.org/doi/10.1145/3240167.3240192

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