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Wenjing Luo – ProQuest LLC, 2019
In 2019, the U.S. is still facing a shortage of science, technology, engineering and mathematics (STEM) workforce that is capable of solving social and economic challenges in 21st century worldwide. Numerous studies have explored the influence of integrative STEM approaches on developing student interest and career aspiration in STEM. Building on…
Descriptors: Cognitive Processes, Student Interests, Learning Activities, Middle School Students
Whitaker, Douglas – International Journal for Mathematics Teaching and Learning, 2020
Education research has established that teachers' beliefs matter because they can affect classroom practices and student outcomes, and beliefs are viewed as an important construct within statistics education. However, relatively little research about the beliefs of in-service statistics teachers has been conducted. Additionally, little research…
Descriptors: Teacher Attitudes, Beliefs, Statistics, Mathematics Teachers
Incikabi, Lütfi; Ayanoglu, Perihan; Uysal, Ramazan – International Electronic Journal of Elementary Education, 2020
This study aimed to reveal the conceptual and operational conceptions of sixth-grade students in the process of division. The focus of the study included the strategies used in the division process, the students' understanding of the division algorithm, and their ability to interpret the remainder in a real-life context. Being qualitative in…
Descriptors: Foreign Countries, Middle School Students, Grade 6, Mathematics Skills
Contini, Dalit; Cugnata, Federica – Large-scale Assessments in Education, 2020
The development of international surveys on children's learning like PISA, PIRLS and TIMSS--delivering comparable achievement measures across educational systems--has revealed large cross-country variability in average performance and in the degree of inequality across social groups. A key question is whether and how institutional differences…
Descriptors: International Assessment, Achievement Tests, Scores, Family Characteristics
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Siegler, Robert S.; Im, Soo-hyun; Schiller, Lauren K.; Tian, Jing; Braithwaite, David W. – Grantee Submission, 2020
Children's failure to reason often leads to their mathematical performance being shaped by spurious associations from problem input and overgeneralization of inapplicable procedures rather than by whether answers and procedures make sense. In particular, imbalanced distributions of problems, particularly in textbooks, lead children to create…
Descriptors: Logical Thinking, Arithmetic, Numbers, Fractions
Nicewander, W. Alan – Educational and Psychological Measurement, 2018
Spearman's correction for attenuation (measurement error) corrects a correlation coefficient for measurement errors in either-or-both of two variables, and follows from the assumptions of classical test theory. Spearman's equation removes all measurement error from a correlation coefficient which translates into "increasing the reliability of…
Descriptors: Error of Measurement, Correlation, Sample Size, Computation
Yoder, Paul J.; Ledford, Jennifer R.; Harbison, Amy L.; Tapp, Jon T. – Journal of Early Intervention, 2018
A simulation study that used 3,000 computer-generated event streams with known behavior rates, interval durations, and session durations was conducted to test whether the main and interaction effects of true rate and interval duration affect the error level of uncorrected and Poisson-transformed (i.e., "corrected") count as estimated by…
Descriptors: Computation, Child Behavior, Early Childhood Education, Early Intervention
Jarecki, Jana B.; Meder, Björn; Nelson, Jonathan D. – Cognitive Science, 2018
Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference…
Descriptors: Classification, Conditioning, Inferences, Novelty (Stimulus Dimension)
Browne, Matthew; Rockloff, Matthew; Rawat, Vijay – Sociological Methods & Research, 2018
Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…
Descriptors: Structural Equation Models, Scaling, Evaluation Criteria, Psychometrics
Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
Fischer, Ursula; Suggate, Sebastian P.; Schmirl, Judith; Stoeger, Heidrun – Developmental Science, 2018
Finger counting is widely considered an important step in children's early mathematical development. Presumably, children's ability to move their fingers during early counting experiences to aid number representation depends in part on their early fine motor skills (FMS). Specifically, FMS should link to children's procedural counting skills…
Descriptors: Computation, Mathematics Skills, Psychomotor Skills, Preschool Children
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Paliwal, Veena – Current Issues in Middle Level Education, 2018
Manipulatives have been found to be effective in increasing mathematics achievement when they are put to good use (Canny, 1984; Clements & Battista, 1990; Clements, 1999; Sowell, 1989; Suydam, 1984), but their use in mathematics instruction is not clear and it is often debated to be effective (Ball, 1992; McNeil & Jarvin, 2007). The…
Descriptors: Manipulative Materials, Preservice Teachers, Pedagogical Content Knowledge, Comprehension
Scott, Marc A.; Diakow, Ronli; Hill, Jennifer L.; Middleton, Joel A. – Grantee Submission, 2018
We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…
Descriptors: Statistical Bias, Computation, Comparative Analysis, Hierarchical Linear Modeling

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