Single or multi-page learning analytics dashboards? Relationships between teachers’ cognitive load and visualisation literacy

Stanislav Pozdniakov, Roberto Martinez-Maldonado, Yi Shan Tsai, Namrata Srivastava, Yuchen Liu, Dragan Gasevic

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

10 Citations (Scopus)

Abstract

There has been a proliferation of learning analytics (LA) interfaces designed to support teachers, such as LA dashboards. However, although teacher dashboards have been extensively studied, there is limited understanding of the relationship between single-page or multi-page dashboard designs and the cognitive demands placed on teachers to use them. Additionally, teachers typically have varying levels of visualisation literacy (VL), which may make it easier or more difficult for them to engage with single-page versus multi-page dashboard designs. In this paper, we explore how teachers, with varying VL, use single-page and multi-page LA dashboards. We conducted a quasi-experimental study with 23 higher education teachers of varied VL inspecting single and multi-page LA dashboards. We used an eye-tracking device to measure cognitive load while teachers inspected the LA dashboards in online group work. We investigated how proxy metrics derived from eye-tracking data related to teachers’ cognitive load varied depending on the type of the dashboard teacher used and the level of VL teachers have. Our findings suggest that the design of the LA dashboard had an impact on the cognitive load experienced by the teachers. Post-hoc analysis revealed that teachers with low VL had a marginally lower cognitive load when using single-page dashboards. We argue that the LA dashboard design for teachers should account for teachers’ levels of VL and provide design recommendations.

Original languageEnglish
Title of host publicationResponsive and Sustainable Educational Futures - 18th European Conference on Technology Enhanced Learning, EC-TEL 2023 Aveiro, Portugal, September 4–8, 2023 Proceedings
EditorsOlga Viberg, Ioana Jivet, Pedro J. Muñoz-Merino, Maria Perifanou, Tina Papathoma
Place of PublicationCham Switzerland
PublisherSpringer
Pages339-355
Number of pages17
ISBN (Electronic)9783031426827
ISBN (Print)9783031426810
DOIs
Publication statusPublished - 2023
EventEuropean Conference on Technology Enhanced Learning (EC-TEL) 2023 - Aveiro, Portugal
Duration: 4 Sept 20238 Sept 2023
Conference number: 18th
https://link.springer.com/book/10.1007/978-3-031-42682-7 (Proceedings)
https://ea-tel.eu/ectel2023 (Website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume14200
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Technology Enhanced Learning (EC-TEL) 2023
Abbreviated titleECTEL 2023
Country/TerritoryPortugal
CityAveiro
Period4/09/238/09/23
Internet address

Keywords

  • dashboards
  • data literacy
  • eye-tracking
  • learning analytics

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