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Neslihan Yondemir Çaliskan; Emine Sendurur – Educational Technology Research and Development, 2025
Based on the assumptions of cognitive load theory, this study aims to utilize the eye movement data collected from multiple experts to scaffold novice graphic designers. The study has two main stages. In the first stage, eye tracking was used to record the eye movements of 7 experts, who covered eight topics explaining how to use Photoshop. The…
Descriptors: Eye Movements, Novices, Expertise, Guidance
Sha Zhu; Qing Guo; Sa Yang; Harrison Hao Yang; Huan Li; Zejun Sun – Educational Technology Research and Development, 2025
Computational thinking (CT) is a core skill for students in the digital age, which refers to the use of fundamental concepts of computer science to analyze and solve real-world problems. However, it is a challenging task to accurately measure the CT levels of the students. The goal of this study is to explore a new CT assessment paradigm that…
Descriptors: Foreign Countries, Middle School Students, Computation, Thinking Skills
Trudi Lord; Paul Horwitz; Amy Pallant; Christopher Lore – Educational Technology Research and Development, 2025
This study employs the Experiential Learning Theory framework to investigate students' use of a wildfire simulation. We analyzed log files automatically generated by middle and high school students (n = 1515) as they used a wildfire simulation and answered associated prompts in three simulation-based tasks. We first analyzed students' log files to…
Descriptors: Natural Disasters, Fire Protection, Simulation, Experiential Learning

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