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Fukumura, Kumiko; Carminati, Maria Nella – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Using eye-tracking, we examined whether overspecification hinders or facilitates referent selection and the extent to which this depends on the properties of the attribute mentioned in the referring expressions and the underpinning processing mode. Following spoken instructions, participants selected the referent in a visual display while their…
Descriptors: Eye Movements, Color, Pattern Recognition, Language Processing
Sen, Ceylan; Guler, Gürsel – International Journal of Mathematical Education in Science and Technology, 2022
In this study, it was aimed to investigate 4-to-6-year-old children's reasoning skills appearing in pattern tasks. 55 children studying in the classes of four different pre-school classes participated in the study. A classroom teaching experiment was conducted to examine the development of children's reasoning skills in pattern tasks. Both…
Descriptors: Thinking Skills, Pattern Recognition, Preschool Children, Early Childhood Education
Ling Yuan; Chunxiao Meng; Huiyu Hou; Hongzhang Wang; Changwei Pan; Juan Ma; Chenghao Zhu; Qingyu Gao – Journal of Chemical Education, 2022
Nonlinear chemical reactions produce interesting chemohydrodynamic patterns in an unstirred medium, which act as interesting demonstrations to display the novel phenomena in a nonequilibrium chemical system. Here, we report new outreach experiments: pH chemohydrodynamic patterns modulated by sodium polyacrylate in the bromate-sulfite-ferrocyanide…
Descriptors: Chemistry, Scientific Concepts, Science Education, Science Experiments
Ling, Meng Kay Daniel; Loh, Sau Cheong – International Journal of Mathematical Education in Science and Technology, 2023
The understanding of the relationships between pattern recognition and mathematical abilities is important for students in their learning of mathematics and mathematics teachers in the design of their teaching pedagogies. This study examines the connections between pattern recognition and mathematical abilities of students from four Singapore…
Descriptors: Foreign Countries, Pattern Recognition, Mathematics Instruction, Mathematics Skills
Cui, Zhongmin – Educational and Psychological Measurement, 2020
In test security analyses, answer copying, collusion, and the use of a shared brain dump site can be detected by checking similarity between item response strings. The similarity, however, can possibly be contaminated by aberrant data resulted from careless responding or rapid guessing. For example, some test-takers may answer by repeating a…
Descriptors: Repetition, Cheating, Response Style (Tests), Pattern Recognition
Larry Musolino – International Society for Technology, Education, and Science, 2024
A new course development is intended for students to investigate the intersection of mathematics with seemingly disparate areas of art, music, architecture, and nature. The course is designed to allow students to explore the hidden connections between the aesthetic pleasures of art, music and nature and that of mathematical foundations and how the…
Descriptors: Interdisciplinary Approach, Art Education, Mathematics Education, Music
Julia Tomanova; Martin Vozar; Dasa Munkova – International Journal of Education in Mathematics, Science and Technology, 2024
The study focuses on the identification of relationships and/or rules between computational thinking (CT) concepts among the undergraduate students of Applied Informatics due to their attitudes towards mathematics. We analyze three CT concepts -- decomposition, pattern recognition, and algorithmic thinking. We assume that students who have a…
Descriptors: Computation, Thinking Skills, Student Attitudes, Undergraduate Students
Huiguang Ren; Craig H. Hart; Charissa S. L. Cheah; Chris L. Porter; David A. Nelson; H. Melis Yavuz-Müren; Wen Gao; Fatimah Haron; Liuqing Jiang; Akiko Kawashima; Ai Shibazaki-Lau; Jun Nakazawa; Larry J. Nelson; Clyde C. Robinson; Ayse Bilge Selçuk; Cortney Evans-Stout; Jo-Pei Tan; Chongming Yang; Ai-Hwa Quek; Nan Zhou – Developmental Science, 2024
This study compared parenting across four non-Western cultures to test cross-cultural commonality and specificity principles in three aspects: measurement properties, parenting normativeness, and their associations with child outcomes. Both mothers and fathers (N = 1509 dyads) with preschool-aged children (M = 5.00 years; 48% girls) from urban…
Descriptors: Parenting Skills, Cultural Differences, Evaluation Methods, Behavior Standards
David Joyner, Editor; Benjamin Paaßen, Editor; Carrie Demmans Epp, Editor – International Educational Data Mining Society, 2024
The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…
Descriptors: Data Analysis, Pattern Recognition, Technology Uses in Education, Artificial Intelligence
Yiqiu Zhou; Luc Paquette – International Educational Data Mining Society, 2024
Extensive research underscores the importance of stimulating students' interest in learning, as it can improve key educational outcomes such as self-regulation, collaboration, problem-solving, and overall enjoyment. Yet, the mechanisms through which interest manifests and impacts learning remain less explored, particularly in open-ended game-based…
Descriptors: Video Games, Game Based Learning, Technology Uses in Education, Student Interests
Chenguang Pan; Zhou Zhang – International Educational Data Mining Society, 2024
There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…
Descriptors: High School Students, Dropouts, Dropout Characteristics, Artificial Intelligence
Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
Amitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
Huang, WenYen – Mathematics Teacher: Learning and Teaching PK-12, 2022
The study of mathematics is often described as the science of patterns (Resnik 1981), and the cognitive tasks involving the search, recognition, and assessment of patterns are fundamental to learning mathematics. Patterning activities lead students to a better understanding of dependent relations among representations, create a transparent way for…
Descriptors: Mathematics Education, Mathematics Skills, Pattern Recognition, Mathematics Activities
Shoaib, Muhammad; Sayed, Nasir; Amara, Nedra; Latif, Abdul; Azam, Sikandar; Muhammad, Sajjad – Education and Information Technologies, 2022
Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…
Descriptors: Prediction, Artificial Intelligence, Student Behavior, Academic Achievement

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