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Katie M. Cleasby – ProQuest LLC, 2023
The goal of a triathlon is to provide a challenge to the athlete, but this comes with inherent risks. The drowning rate of triathlon participants has increased exponentially over the years in open water triathlon venues. This study sought to understand the decision-making process of experienced lifeguards in the unique conditions of the open water…
Descriptors: Decision Making, Athletes, Aquatic Sports, Risk
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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
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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
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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
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Shuang Li; Xinyi He; Jiaqi Chen – Interactive Learning Environments, 2024
To inform the relationships among interaction patterns, social capital accumulation, and learning benefits, based on 29,056 log data from a cMOOC (Connectivist Massive Open Online Course) in China, this study examined the difference in social capital accumulation and content production among different interaction patterns using cluster analysis,…
Descriptors: Social Capital, Capacity Building, Interpersonal Competence, Foreign Countries
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Yanyan Sun; Chengjun Feng; Di Peng; Bian Wu – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Goal Orientation, Active Learning, Inquiry, Engineering Education
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Sohum Bhatt; Katrien Verbert; Wim Van Den Noortgate – Journal of Learning Analytics, 2024
Computational thinking (CT) is a concept of growing importance to pre-university education. Yet, CT is often assessed through results, rather than by looking at the CT process itself. Process-based assessments, or assessments that model how a student completed a task, could instead investigate the process of CT as a formative assessment. In this…
Descriptors: Learning Analytics, Student Evaluation, Computation, Thinking Skills
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Kristina M. Tank; Anne Ottenbreit-Leftwich; Tamara J. Moore; Sohheon Yang; Zarina Wafula; Jiyoung Kim; Bárbara Fagundes; Lin Chu – International Journal of Computer Science Education in Schools, 2024
Within the field of K-2 computer science (CS) education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students' skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how…
Descriptors: Computation, Thinking Skills, Computer Science Education, Preschool Children
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Sajid Manzoor; Zamir Ahmed – Pakistan Journal of Distance and Online Learning, 2024
The study focused on understanding the different patterns of Facebook usage among university students and its impact on their academic performance. It was examined that to what extent Facebook consumption influenced the students' educational performance. "Uses and Gratifications" a theoretical framework was used to analyze consumption…
Descriptors: Social Media, Pattern Recognition, Performance, Influence of Technology
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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
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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
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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
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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
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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
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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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