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Rafiepour, Abolfazl; Abdolahpour, Kazem; Farsani, Danyal – Mathematics Teaching Research Journal, 2022
The main purpose of this study is to develop a conceptual understanding of the irrational number of the square root of 2 ([square root]2 ). Participants in the study were 20 ninth-grade male students. Activity Theory was used as a framework to show the development of the conceptual understanding. Since this study was conducted during the COVID-19…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, COVID-19
Koh, Elizabeth; Jonathan, Christin; Tan, Jennifer Pei-Ling – Education Sciences, 2019
Networked learning provides opportunities for learners to develop their critical thinking, an important 21st century competency, through dialogue with fellow learners to consider other perspectives and negotiate and critique ideas and arguments. However, much extant literature has not examined networked learning environments among younger learners…
Descriptors: Critical Thinking, Secondary School Students, Intervention, Social Networks
Lessne, Deborah; Yanez, Christina – National Center for Education Statistics, 2016
This document reports data from the 2015 School Crime Supplement (SCS) to the National Crime Victimization Survey (NCVS). The Web Tables show the extent to which students with different personal characteristics report being bullied. Estimates include responses by student characteristics: student sex, race/ethnicity, grade, and household income.…
Descriptors: Bullying, Student Reaction, Crime, School Statistics
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design