How do teachers use dashboards enhanced with data storytelling elements according to their data visualisation literacy skills?

Stanislav Pozdniakov, Roberto Martinez-Maldonado, Yi Shan Tsai, Vanessa Echeverria, Namrata Srivastava, Dragan Gasevic

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Abstract

There is a proliferation of learning analytics (LA) dashboards aimed at supporting teachers. Yet, teachers still find it challenging to make sense of LA dashboards, thereby making informed decisions. Two main strategies to address this are emerging: i) upskilling teachers' data literacy; ii) improving the explanatory design features of current dashboards (e.g., adding visual cues or text) to minimise the skills required by teachers to effectively use dashboards. While each approach has its own trade-offs, no previous work has explored the interplay between the dashboard design and such "data skills". In this paper, we explore how teachers with varying visualisation literacy (VL) skills use LA dashboards enhanced with (explanatory) data storytelling elements. We conducted a quasi-experimental study with 23 teachers of varied VL inspecting two versions of an authentic multichannel dashboard enhanced with data storytelling elements. We used an eye-tracking device while teachers inspected the students' data captured from Zoom and Google Docs, followed by interviews. Results suggest that high VL teachers adopted complex exploratory strategies and were more sensitive to subtle inconsistencies in the design; while low VL teachers benefited the most from more explicit data storytelling guidance such as accompanying complex graphs with narrative and semantic colour encoding.

Original languageEnglish
Title of host publicationLAK 2023 Conference Proceedings - Towards Trustworthy Learning Analytics - The Thirteenth International Conference on Learning Analytics & Knowledge
EditorsIsabel Hilliger, Hassan Khosravi, Bart Rienties, Shane Dawson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages89-99
Number of pages11
ISBN (Electronic)9781450398657
DOIs
Publication statusPublished - 2023
EventInternational Conference on Learning Analytics and Knowledge 2023 - Arlington, United States of America
Duration: 13 Mar 202317 Mar 2023
Conference number: 13th
https://dl.acm.org/doi/proceedings/10.1145/3576050 (Proceedings)
https://www.solaresearch.org/events/lak/lak23/ (Website)

Conference

ConferenceInternational Conference on Learning Analytics and Knowledge 2023
Abbreviated titleLAK 2023
Country/TerritoryUnited States of America
CityArlington
Period13/03/2317/03/23
Internet address

Keywords

  • dashboard
  • data literacy
  • data storytelling
  • human-centred design
  • learning analytics

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