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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
Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
Bogard, Treavor; Liu, Min; Chiang, Yueh-hui Vanessa – Educational Technology Research and Development, 2013
This multiple-case study examined how advanced learners solved a complex problem, focusing on how their frequency and application of cognitive processes contributed to differences in performance outcomes, and developing a mental model of a problem. Fifteen graduate students with backgrounds related to the problem context participated in the study.…
Descriptors: Case Studies, Observation, Protocol Analysis, Prior Learning
Hatsidimitris, George; Kalyuga, Slava – Educational Technology Research and Development, 2013
Learning with instructional animations may overstretch limited working memory resources due to intense processing demands associated with transient information. The authors investigated whether explicit instructional advice coupled with a task-specific learner control mechanism (such as a timeline scrollbar) could facilitate the successful…
Descriptors: Animation, Computer Assisted Instruction, Prior Learning, Learner Controlled Instruction