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Showing all 15 results Save | Export
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Lonneke Boels; Alex Lyford; Arthur Bakker; Paul Drijvers – Frontline Learning Research, 2023
Many students persistently misinterpret histograms. Literature suggests that having students solve dotplot items may prepare for interpreting histograms, as interpreting dotplots can help students realize that the statistical variable is presented on the horizontal axis. In this study, we explore a special case of this suggestion, namely, how…
Descriptors: Data Interpretation, Interpretive Skills, Statistical Distributions, Graphs
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Son, Myeongeun; Lee, Jongbong; Godfroid, Aline – Studies in Second Language Acquisition, 2022
Motivated by a series of interconnected studies on simultaneous attention to form and meaning, we revisit L2 learners' real-time processing of text by using eye-tracking as an unobtrusive method to provide concurrent data on attention allocation. Seventy-five L2 Spanish learners were instructed to attend to an assigned form in a reading passage…
Descriptors: Eye Movements, Second Language Learning, Attention, Spanish
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Saskia Schreiter; Markus Vogel – Educational Studies in Mathematics, 2025
The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…
Descriptors: Eye Movements, Statistical Distributions, Data Interpretation, Data Analysis
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Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
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Strohmaier, Anselm R.; MacKay, Kelsey J.; Obersteiner, Andreas; Reiss, Kristina M. – Educational Studies in Mathematics, 2020
Eye tracking is an increasingly popular method in mathematics education. While the technology has greatly evolved in recent years, there is a debate about the specific benefits that eye tracking offers and about the kinds of insights it may allow. The aim of this review is to contribute to this discussion by providing a comprehensive overview of…
Descriptors: Eye Movements, Mathematics Education, Educational Research, Research Methodology
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Morris, Bradley J.; Masnick, Amy M.; Was, Christopher A. – Journal of Cognition and Development, 2022
The statistical properties of data are not present in any individual value, but rather, emerge only by perceiving the set as a whole. Summarizing the statistical properties of sets (e.g., creating ensembles) is ubiquitous in cognition, yet one unanswered question is how this process changes over development. The properties of number sets (e.g.,…
Descriptors: Elementary School Students, Grade 4, Grade 6, Data Interpretation
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Sebastian Becker; Lynn Knippertz; Stefan Ruzika; Jochen Kuhn – Physical Review Physics Education Research, 2023
Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…
Descriptors: Persistence, Context Effect, Learning Strategies, Eye Movements
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Gold, Anne U.; Atkins, Rachel; McNeal, Karen S. – Scholarship and Practice of Undergraduate Research, 2021
Research Experiences for Undergraduate (REU) programs often introduce students to scientific research and STEM career possibilities. However, the program impact on students and their research skill development is not well understood. In a case study with 10 REU students, the authors used eye-tracking and self-report data to determine student…
Descriptors: Undergraduate Students, Graphs, Data Interpretation, Scientific Research
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Fayed, Karim; Franken, Birgit; Berkling, Kay – Research-publishing.net, 2020
The iRead EU Project has released literacy games for Spanish, German, Greek, and English for L1 and L2 acquisition. In order to understand the impact of these games on reading skills for L1 German pupils, the authors employed an eye-tracking recording of pupils' readings on a weekly basis as part of an after-school reading club. This work seeks to…
Descriptors: Eye Movements, Measurement, Data Interpretation, Reading Skills
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Moreno-Estevaa, Enrique Garcia; White, Sonia L. J.; Wood, Joanne M.; Black, Alex A. – Frontline Learning Research, 2018
In this research, we aimed to investigate the visual-cognitive behaviours of a sample of 106 children in Year 3 (8.8 ± 0.3 years) while completing a mathematics bar-graph task. Eye movements were recorded while children completed the task and the patterns of eye movements were explored using machine learning approaches. Two different techniques of…
Descriptors: Artificial Intelligence, Man Machine Systems, Mathematics Education, Eye Movements
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Resnick, Ilyse; Kastens, Kim A.; Shipley, Thomas F. – Journal of Geoscience Education, 2018
This study identifies a population of students who have an intermediate amount of relevant content knowledge and skill for working with data, and characterizes their approach to interpreting a challenging data-based visualization. Thirty-three undergraduate students enrolled in an introductory environmental science course reasoned about salinity…
Descriptors: Logical Thinking, Visual Aids, Data Interpretation, Undergraduate Students
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Kastens, Kim A.; Shipley, Thomas F.; Boone, Alexander P.; Straccia, Frances – Journal of Astronomy & Earth Sciences Education, 2016
This study examines how geoscience experts and novices make meaning from an iconic type of data visualization: shaded relief images of bathymetry and topography. Participants examined, described, and interpreted a global image, two high-resolution seafloor images, and 2 high-resolution continental images, while having their gaze direction…
Descriptors: Expertise, Novices, Earth Science, Visual Aids
Stofer, Kathryn A. – ProQuest LLC, 2013
Data visualizations designed for academic scientists are not immediately meaningful to everyday scientists. Communicating between a specialized, expert audience and a general, novice public is non-trivial; it requires careful translation. However, more widely available visualization technologies and platforms, including new three-dimensional…
Descriptors: Visualization, Science Education, Oceanography, Data Interpretation
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McElree, Brian; Frisson, Steven; Pickering, Martin J. – Cognitive Science, 2006
Comprehenders often need to go beyond conventional word senses to obtain an appropriate interpretation of an expression. We report an experiment examining the processing of standard metonymies (The gentleman read Dickens) and logical metonymies (The gentleman began Dickens), contrasting both to the processing of control expressions with a…
Descriptors: Reading, Figurative Language, Eye Movements, Semantics
Vonder Embse, Charles Bernard, Jr. – 1987
A graph is an example of a symbol system which encodes information through the juxtaposition of marks in a two dimensional plane; decoding the meaning of a graph uses specific attributes of the human visual system. This study was undertaken to identify some variables critical to graph interpretation as a first step in designing better curriculum…
Descriptors: College Mathematics, Data Interpretation, Eye Fixations, Eye Movements