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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
Laura Galeano; Gustaf Gredebäck – Cognitive Science, 2024
We investigated the relations between self-reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self-reported math anxiety and pupil dilation differed…
Descriptors: Mathematics Anxiety, Difficulty Level, Task Analysis, Eye Movements
Hsing, Hsiang-Wen; Bairaktarova, Diana; Lau, Nathan – Journal of Engineering Education, 2023
Background: Spatial problem-solving is an essential skill for success in many engineering disciplines; thus, understanding the cognitive processes involved could help inform the design of training interventions for students trying to improve this skill. Prior research has yet to investigate the differences in cognitive processes between spatial…
Descriptors: Eye Movements, Cognitive Processes, Problem Solving, Engineering Education
Guoyang Liu; Yueyuan Zheng; Michelle Hei Lam Tsang; Zhao Yazhou; Janet H. Hsiao – npj Science of Learning, 2025
Eye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding. Eighty-four participants performed an old-new face recognition task with eye movement pattern and consistency quantified using eye movement analysis with hidden…
Descriptors: Eye Movements, Human Body, Recognition (Psychology), Diagnostic Tests
van Marlen, Tim; van Wermeskerken, Margot; Jarodzka, Halszka; Raijmakers, Maartje; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Background: Eye movement modelling examples (EMME) are demonstrations in which learners' not only see a model's (e.g., a teacher's) task performance on a computer screen (as in regular video examples) but also the model's eye movements (represented as moving coloured dots overlaid on the screen). Thereby EMME help guide learners' attention towards…
Descriptors: Eye Movements, Logical Thinking, Technology Uses in Education, Task Analysis
David John; Ritayan Mitra – Frontline Learning Research, 2023
Eye tracking technology enables the visualisation of a problem solver's eye movement while working on a problem. The eye movement of experts has been used to draw attention to expert problem solving processes in a bid to teach procedural skills to learners. Such affordances appear as eye movement modelling examples (EMME) in the literature. This…
Descriptors: Eye Movements, Problem Solving, Expertise, Novices
Basil Wahn; Laura Schmitz – Cognitive Research: Principles and Implications, 2024
With the increased sophistication of technology, humans have the possibility to offload a variety of tasks to algorithms. Here, we investigated whether the extent to which people are willing to offload an attentionally demanding task to an algorithm is modulated by the availability of a bonus task and by the knowledge about the algorithm's…
Descriptors: College Students, Algorithms, Cognitive Processes, Technology Uses in Education
Leila Etemadi; Dan-Anders Jirenhed; Anders Rasmussen – npj Science of Learning, 2023
Eyeblink conditioning is used in many species to study motor learning and make inferences about cerebellar function. However, the discrepancies in performance between humans and other species combined with evidence that volition and awareness can modulate learning suggest that eyeblink conditioning is not merely a passive form of learning that…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Intervals
Kaiwen Man; Joni M. Lakin – Journal of Educational Measurement, 2024
Eye-tracking procedures generate copious process data that could be valuable in establishing the response processes component of modern validity theory. However, there is a lack of tools for assessing and visualizing response processes using process data such as eye-tracking fixation sequences, especially those suitable for young children. This…
Descriptors: Problem Solving, Spatial Ability, Task Analysis, Network Analysis
Pande, Prajakt; Chandrasekharan, Sanjay – Research in Science Education, 2022
Representational competence in science is the ability to generate external representations (e.g. equations, graphs) of real-world phenomena, transform between these representations, and use them in an integrated fashion. Difficulties in achieving representational competence are often considered central to difficulties in learning science.…
Descriptors: Competence, Science Process Skills, Eye Movements, Problem Solving
Li, Wei; Rohde, Hannah; Corley, Martin – Journal of Autism and Developmental Disorders, 2022
How do we decide whether a statement is literally true? Here, we contrast participants' eventual evaluations of a speaker's meaning with the real-time processes of comprehension. We record participants' eye movements as they respond to potentially misleading instructions to click on one of two objects which might be concealing treasure ("the…
Descriptors: Autism Spectrum Disorders, Deception, Cognitive Processes, Scores
Unsworth, Nash; Robison, Matthew K.; Miller, Ashley L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Eight experiments (N = 2,003) assessed the relation between working memory capacity (WMC) and performance on the antisaccade task. Experiments 1-5 and 7 examined individual differences in aspects of goal management processes occurring during the preparatory delay of the antisaccade task. WMC tended to interact with delay interval suggesting that…
Descriptors: Short Term Memory, Attention Control, Eye Movements, Individual Differences
Marcelo Bairral; Gilles Aldon – REDIMAT - Journal of Research in Mathematics Education, 2024
Eye-tracking (ET) method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes. The main principle of ET is that our gaze and our focus of attention are connected. Due to the advent of digital technologies, eye tracking studies are increasingly growing in different fields and in mathematics…
Descriptors: Geometry, Mathematics Instruction, Validity, Mathematical Logic
Malena Manchado Porras; Inmaculada Menacho Jiménez; Jose Carlos Piñero-Charlo; María del Carmen Canto-López – European Journal of Science and Mathematics Education, 2023
Currently mathematics difficulties in schools are a major problem due to several factors. Some research suggest that mathematics teaching-learning methodology could be one of the causes. As a result, alternative teaching methods to the traditional approach (ciphers-based closed algorithm [CBC]) have emerged, such as numbers-based open algorithm…
Descriptors: Mathematics Instruction, Computation, Teaching Methods, Eye Movements
Rachel Zahn – ProQuest LLC, 2024
Evidence from neuropsychological studies of individuals with brain damage post-stroke has supported the separation of working memory (WM) capacities for semantic (word meaning) and phonological (speech sound) information. These separate capacities have been shown to play different roles in supporting multiword language production, with semantic WM…
Descriptors: Language Processing, Young Adults, Older Adults, Neuropsychology