Reflections on gaze data in statistics education

Lonneke Boels

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Gaze data are still uncommon in statistics education despite their promise. Gaze data provide teachers and researchers with a new window into complex cognitive processes. This article discusses how gaze data can inform and be used by teachers both for their own teaching practice and with students. With our own eye-tracking research as an example, background information on eye-tracking and possible applications of eye-tracking in statistics education is provided. Teachers indicated that our eye-tracking research created awareness of the difficulties students have when interpreting histograms. Gaze data showed details of students' strategies that neither teachers nor students were aware of. With this discussion paper, we hope to contribute to the future usage and implementation of gaze data in statistics education by teachers, researchers, educational and textbook designers, and students.
Original languageEnglish
Pages (from-to)S40-S51
Number of pages12
JournalTeaching Statistics
Volume45
Issue numberS1
Early online dateJun 2023
DOIs
Publication statusPublished - 1 Jun 2023

Bibliographical note

Funding Information:
The author thanks Arthur Bakker, Paul Drijvers, and Wim Van Dooren for their contribution to discussing the design, the data analysis, and the articles of the previous research with secondary school students and teachers. The author thanks Rutmer Ebbes for his contribution to all phases of the pilot study with university students. The author thanks Alex Lyford and Enrique Garcia‐Moreno Esteva for their analyses with MLAs and an interpretable model and one Figure. The author thanks Ciera Lamb for proofreading the article. The studies summarized in this discussion paper were funded with a Doctoral Grant for Teachers from the Dutch Research Council (NWO), number 023.007.023 awarded to Lonneke Boels. Any opinions, findings, or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the Dutch Research Council.

Publisher Copyright:
© 2023 The Author. Teaching Statistics published by John Wiley & Sons Ltd on behalf of Teaching Statistics Trust.

Keywords

  • eye-tracking
  • histogram
  • machine learning algorithm
  • teaching statistics

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