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Tang, Xiaowei; Shu, Gang; Wei, Bing; Levin, Daniel – Science Education, 2024
Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Science, Science Process Skills
Ma, Wenchao; de la Torre, Jimmy – Journal of Educational and Behavioral Statistics, 2019
Solving a constructed-response item usually requires successfully performing a sequence of tasks. Each task could involve different attributes, and those required attributes may be "condensed" in various ways to produce the responses. The sequential generalized deterministic input noisy "and" gate model is a general cognitive…
Descriptors: Test Items, Cognitive Measurement, Models, Hypothesis Testing
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Peterson, Robin L.; Arnett, Anne B.; Pennington, Bruce F.; Byrne, Brian; Samuelsson, Stefan; Olson, Richard K. – Developmental Science, 2018
Previous research has established that learning to read improves children's performance on reading-related phonological tasks, including phoneme awareness (PA) and nonword repetition. Few studies have investigated whether literacy acquisition also promotes children's rapid automatized naming (RAN). We tested the hypothesis that literacy…
Descriptors: Naming, Phonemic Awareness, Twins, Models
Braithwaite, David W.; Pyke, Aryn A.; Siegler, Robert S. – Grantee Submission, 2017
Many children fail to master fraction arithmetic even after years of instruction, a failure that hinders their learning of more advanced mathematics as well as their occupational success. To test hypotheses about why children have so many difficulties in this area, we created a computational model of fraction arithmetic learning and presented it…
Descriptors: Arithmetic, Computation, Models, Mathematics Instruction
Thornberg, Robert; Jungert, Tomas – Child & Youth Care Forum, 2017
Background: Although callous-unemotional (CU) traits have been associated with bullying among children and adolescents, relatively little is known about whether each of the three sub-constructs of CU traits--callous, uncaring, and unemotional--are associated with bullying when they are considered concurrently in the analysis. Objective: This study…
Descriptors: Personality Traits, Bullying, Foreign Countries, Correlation
Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
Nail, Paul R.; Simon, Joan B.; Bihm, Elson M.; Beasley, William Howard – Journal of School Violence, 2016
According to the compensation model of aggression (Staub, 1989), some people bully to defend against their own feelings of weakness and vulnerability. Classmates and teachers rated a sample of American sixth graders in terms of trait: defensiveness (i.e., defensive egotism), self-esteem, bullying, and related behaviors. Consistent with the model,…
Descriptors: Bullying, Gender Differences, Aggression, Grade 6
Szubielska, Magdalena; Marek, Boguslaw – Journal of Visual Impairment & Blindness, 2015
Introduction: This paper investigates the question of whether or not subjects who are congenitally blind experience greater difficulties mentally in resizing images of objects than those who have low vision or are adventitiously blind. Methods: Two experiments were conducted--one in which subjects were asked to mentally enlarge objects they…
Descriptors: Blindness, Cognitive Processes, Imagery, Visual Impairments
Kearns, Devin M.; Steacy, Laura M.; Compton, Donald L.; Gilbert, Jennifer K.; Goodwin, Amanda P.; Cho, Eunsoo; Lindstrom, Esther R.; Collins, Alyson A. – Journal of Learning Disabilities, 2016
Comprehensive models of derived polymorphemic word recognition skill in developing readers, with an emphasis on children with reading difficulty (RD), have not been developed. The purpose of the present study was to model individual differences in polymorphemic word recognition ability at the item level among 5th-grade children (N = 173)…
Descriptors: Word Recognition, Reading Difficulties, Individual Differences, Grade 5
Morinaj, Julia; Scharf, Jan; Grecu, Alyssa; Hadjar, Andreas; Hascher, Tina; Marcin, Kaja – Frontline Learning Research, 2017
Early identification of school alienation is of great importance for students' educational outcomes and successful participation in society. This study examined the psychometric characteristics of a newly developed assessment instrument, the School Alienation Scale (SALS), to measure school alienation among primary and secondary school students.…
Descriptors: Foreign Countries, Comparative Education, Alienation, Learner Engagement
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Rhodes, Katherine T.; Branum-Martin, Lee; Morris, Robin D.; Romski, MaryAnn; Sevcik, Rose A. – American Journal on Intellectual and Developmental Disabilities, 2015
Although it is often assumed that mathematics ability alone predicts mathematics test performance, linguistic demands may also predict achievement. This study examined the role of language in mathematics assessment performance for children with intellectual disability (ID) at less severe levels, on the KeyMath-Revised Inventory (KM-R) with a…
Descriptors: Language Skills, Mathematics Skills, Intellectual Disability, Elementary School Students
Zhijun, Sun; Zeyun, Liu; Baicai, Sun – Chinese Education & Society, 2015
This paper focuses on the impact of school factors on student achievement due to differences in family backgrounds. Based on the principle of diminishing effects of school investment in children's achievement, this study built a model that includes individual characteristics, family characteristics, and school characteristics. Family and school…
Descriptors: Foreign Countries, Geographic Regions, Academic Achievement, Family Characteristics
Jones, Brett D.; Sahbaz, Sumeyra; Schram, Asta B.; Chittum, Jessica R. – International Journal of Science Education, 2017
We investigated students' perceptions related to psychological constructs in their science classes and the influence of these perceptions on their science identification and science career goals. Participants included 575 middle school students from two countries (334 students in the U.S. and 241 students in Iceland). Students completed a…
Descriptors: Career Choice, Foreign Countries, Science Instruction, Student Attitudes

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