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Avery H. Closser; Anthony F. Botelho; Jenny Yun-Chen Chan – Journal of Educational Data Mining, 2024
Experimental research on perception and cognition has shown that inherent and manipulated visual features of mathematics problems impact individuals' problem-solving behavior and performance. In a recent study, we manipulated the spacing between symbols in arithmetic expressions to examine its effect on 174 undergraduate students' arithmetic…
Descriptors: Undergraduate Students, Arithmetic, Symbols (Mathematics), Equations (Mathematics)
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Lim, Kien H. – Mathematics Teacher: Learning and Teaching PK-12, 2020
The hammer-and-nail phenomenon highlights human tendency to approach a problem using a tool with which one is familiar instead of analyzing the problem. Pedagogical suggestions are offered to help students minimize their mathematical impulsivity, cultivate an analytic disposition, and develop conceptual understanding.
Descriptors: Mathematics Instruction, Problem Solving, Teaching Methods, Cognitive Processes
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El-Badramany, Mohamed Atef; Khalifa, Mai Elsayed; Mekky, Dina Samir; Soliman, Noha Mohamed – Contemporary Educational Technology, 2023
The purpose of this study was to investigate the influence of cognitive training (CT) using mobile applications on attentional control and impulsivity among pre-service teachers. Pre-service teachers were divided into two groups: experimental (n=25) and control (n=14) groups, they were selected from a large sample (n=718). Over 28 sessions, the…
Descriptors: Cognitive Development, Training, Computer Oriented Programs, Attention Control
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Doan, Thanh-Nam; Sahebi, Shaghayegh – International Educational Data Mining Society, 2019
One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…
Descriptors: Data Analysis, Performance Factors, Prediction, Models