In today's digital world, visual content is an essential part of modern education. Researchers have increasingly focused on finding ways to structure educational materials that maximize engagement and retention. One such study, conducted by Desislava Baeva (2024) used RealEye eye-tracking to examine how students interact with different combinations of text and images. The goal was to determine the best layout for improving learning outcomes, specifically for Generation Z learners who have unique cognitive traits.
The study focused on how people engage with learning materials when text and images are structured differently. Using RealEye, researchers analyzed where students directed their gaze, how long they focused on different elements, and which layout combinations yielded the best engagement. The study aimed to create a data-driven approach for structuring educational resources, optimizing their use of text and images.
Four different layout models were tested, each displaying the same scientific information but with different arrangements of text and visuals. The RealEye software tracked participants' eye movements as they reviewed these materials.
The experiment was conducted with a sample group of 14 students from the university, divided into two categories: readers and non-readers. The "readers" were students who excelled in academic reading and had high proficiency in absorbing written material. In contrast, the "non-readers" performed well academically but preferred more visual, dynamic content such as videos and infographics. These two groups represent typical learning preferences within Generation Z.
RealEye's data offered several key insights into how different formats engage students.
From the heatmaps generated by RealEye, the study revealed a clear difference in how the two groups processed information. The readers spent more time on text-dense areas, while the non-readers were quicker to focus on images and required less time to absorb text. For example, students spent up to 50% longer engaging with image-first layouts compared to text-heavy ones.
The experiment highlighted the need for personalization when designing educational content. By understanding the preferences of different student groups, educators can tailor their materials accordingly.
The experiment with RealEte provided valuable insights into optimizing educational materials for modern learners. By understanding how students from Generation Z engage with content, educators can improve the design of textbooks, presentations, and online learning platforms. The right balance between text and images can enhance not only attention but also the retention of knowledge, making learning more effective for today's visually-driven students.
Educators aiming to create more engaging materials should consider adopting eye-tracking technology like RealEye to understand their students' cognitive preferences better. Ultimately, such an approach helps tailor content that meets the needs of a diverse student population, leading to better learning outcomes.
Follow the steps below to start your own experiment with RealEye:
Account Creation and License Activation
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