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Ling Zhang; Naiqing Song; Guowei Wu; Jinfa Cai – Educational Studies in Mathematics, 2025
This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students' behavior in these three stages of problem posing, especially focusing on investigating…
Descriptors: Cognitive Processes, Mathematics Skills, Problem Solving, Eye Movements
Hilmi Karaca; Erhan Ertekin; Kursat Cagiltay – Education and Information Technologies, 2025
In mathematics education, representations are used in place of mathematical structures, ideas, or relationships to concretize, transform, and represent them. When students interact with these representations, they engage in various cognitive activities such as thinking, reasoning, understanding, remembering, problem-solving, attention, and…
Descriptors: Middle School Students, Eye Movements, Mathematics Education, Mathematical Concepts
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
Tzu-Hua Wang; Chien-Hui Kao – Mind, Brain, and Education, 2024
Studies have demonstrated that task-evoked pupillary responses (TEPRs) can be adopted to measure the examinee's cognitive load. This study compared three approaches for the measurement of TEPRs, mean pupil diameter, mean pupil dilation, and mean percentage of pupil dilation, to determine the best-fit measuring method. The valid participants of…
Descriptors: Eye Movements, Cognitive Processes, Difficulty Level, Mathematics Education
Karinna A. Rodriguez; Yvonne K. Ralph; Isabela M. de la Rosa; Oriana P. Pinto Corro; Claudia D. Rey Ochoa; Shannon M. Pruden – Infant and Child Development, 2025
Relying on self-report to understand how children solve cognitive tasks has limitations, particularly with young children. Recent advances in eye-tracking technology allow researchers to leverage this tool to measure young children's strategies for solving cognitive tasks. The current study focuses on young children's mental rotation ability given…
Descriptors: Young Children, Eye Movements, Technology Uses in Education, Problem Solving
Bicer, Ali; Bicer, Aysenur – Mathematics Education Research Journal, 2023
Most research has focused solely on understanding high school or college students' mathematical creative thinking abilities while understanding younger students' creative thinking in mathematics was ignored. These studies of older students have focused mainly on students' creative products rather than creative processes. The authors of the present…
Descriptors: Mathematics Education, Creative Thinking, Elementary School Students, Eye Movements
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
Jian, Yu-Cin – Journal of Research in Science Teaching, 2022
This study used eye-movement tracking to investigate how students engage with the learning process of reading science articles with or without hands-on manipulation of a pulley system and their influences on learning outcomes. This experiment used a 2 (reading easy or difficult articles) × 2 (with or without hands-on manipulation) between-subject…
Descriptors: Difficulty Level, Undergraduate Students, Eye Movements, Hands on Science
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
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
Kang, Tinghu; Tang, Tinghao; Zhang, Peizhi; Luo, Shu; Qi, Huanhuan – British Journal of Educational Psychology, 2023
Background: The ability to translate concrete manipulatives into abstract mathematical formulas can aid in the solving of mathematical word problems among students, and metacognitive prompts play a significant role in enhancing this process. Aims: Based on the concept of semantic congruence, we explored the effects of metacognitive prompts and…
Descriptors: Metacognition, Eye Movements, Cues, Elementary School Students
Schindler, Maike; Lilienthal, Achim J. – International Journal of Science and Mathematics Education, 2020
Students' creative process in mathematics is increasingly gaining significance in mathematics education research. Researchers often use Multiple Solution Tasks (MSTs) to foster and evaluate students' mathematical creativity. Yet, research so far predominantly had a product-view and focused on solutions rather than the process leading to creative…
Descriptors: Creativity, Mathematics Instruction, Creative Thinking, Problem Solving
Jo, Il-Hyun; Kim, Jeonghyun – Asia-Pacific Education Researcher, 2020
Psychophysiological responses have been studied as objective indicators for measuring a learner's cognitive load. Previous studies have correlated pupil dilation or fixation length with increased cognitive load. Our aims were to confirm whether these findings could be applied in a general learning context and to verify the additivity hypothesis of…
Descriptors: Cognitive Processes, Difficulty Level, Problem Solving, Psychophysiology
Sharma, Kshitij; Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Journal of Computer Assisted Learning, 2021
When students are working collaboratively and communicating verbally in a technology-enhanced environment, the system cannot track what collaboration is happening outside of the technology, making it difficult to fully assess the collaboration of the students and adapt accordingly. In this article, we propose using gaze measures as a proxy for…
Descriptors: Cooperative Learning, Interpersonal Communication, Eye Movements, Problem Solving

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