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Jon-Marc G. Rodriguez; Steven R. Jones – Journal for Research in Mathematics Education, 2024
Engaging in the construction and interpretation of graphs is a complex process involving concerted activation of context-specific cognitive resources. As students engage in this process, they apply fine-grained, intuitive ideas to graphical patterns: graphical forms. Using data involving pairs of students constructing and interpreting graphs, we…
Descriptors: College Students, Graphs, Cognitive Processes, Mathematics Skills
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
Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Duijzer, Carolien; Van den Heuvel-Panhuizen, Marja; Veldhuis, Michiel; Doorman, Michiel; Leseman, Paul – Educational Psychology Review, 2019
Embodied learning environments have a substantial share in teaching interventions and research for enhancing learning in science, technology, engineering, and mathematics (STEM) education. In these learning environments, students' bodily experiences are an essential part of the learning activities and hence, of the learning. In this systematic…
Descriptors: Cognitive Processes, Human Body, STEM Education, Motion
MacGregor, James N.; Chu, Yun – Journal of Problem Solving, 2011
The article provides a review of recent research on human performance on the traveling salesman problem (TSP) and related combinatorial optimization problems. We discuss what combinatorial optimization problems are, why they are important, and why they may be of interest to cognitive scientists. We next describe the main characteristics of human…
Descriptors: Problem Solving, Mathematical Applications, Graphs, Performance
Peer reviewedCurtis, B.; And Others – Information Processing and Management, 1984
Discusses current use of psychological theory in software science and reviews recent developments in cognitive psychology relevant to programing (human information processing, expert-novice differences). Critique of Maurice Halstead's model of cognitive aspects of programing and a structured data flow perspective (control flow and data flow…
Descriptors: Cognitive Processes, Computer Software, Graphs, Models
Simcox, William – 1981
This investigation of the encoding features of graphs begins with a description of a cognitive framework which allows designers to factor into the process of designing displays how people interpret the information found and what display properties are responsible for this interpretation. The framework also provides a performance measure for use in…
Descriptors: Cognitive Processes, Computer Graphics, Design Requirements, Display Aids
Wiburg, Karin; Carter, Bruce – Computing Teacher, 1994
Examines research on computers as cognitive enhancers, focusing on applications software that includes spreadsheets, graphing, and databases. Appropriate computer-based problem-solving environments for young children are reviewed, and implications for teachers are suggested. (Contains eight references.) (LRW)
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Graphics, Computer Software
Dunham, Penelope H.; Osborne, Alan – Focus on Learning Problems in Mathematics, 1991
The difficulties and misconceptions that many students experience when learning to visualize graphs of functions are discussed. Specifically, the inability to make accurate connections between symbolic and graphical representations, the lack of understanding about scale and scaling, and the confusion caused by transformations are examined with…
Descriptors: Cognitive Processes, Concept Formation, Curriculum Development, Elementary Secondary Education

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