Publication Date
In 2025 | 1 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 14 |
Since 2016 (last 10 years) | 23 |
Since 2006 (last 20 years) | 40 |
Descriptor
Computation | 46 |
Generalization | 46 |
Probability | 9 |
Teaching Methods | 9 |
Mathematics Instruction | 8 |
Models | 8 |
Statistical Analysis | 8 |
Problem Solving | 7 |
Regression (Statistics) | 7 |
Classification | 6 |
Elementary Education | 6 |
More ▼ |
Source
Author
Chan, Wendy | 5 |
Flores, Margaret M. | 2 |
Lockwood, Elise | 2 |
Tipton, Elizabeth | 2 |
Ainley, Janet | 1 |
Almehrizi, Rashid S. | 1 |
Amanda Cullen | 1 |
Andrew Gelman | 1 |
Aseltine, Robert H., Jr. | 1 |
Baki, Adnan | 1 |
Baumgartner, Maureen D. | 1 |
More ▼ |
Publication Type
Reports - Research | 46 |
Journal Articles | 39 |
Speeches/Meeting Papers | 4 |
Reports - Descriptive | 1 |
Education Level
Audience
Practitioners | 2 |
Researchers | 2 |
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Big Five Inventory | 1 |
Center for Epidemiologic… | 1 |
Indiana Statewide Testing for… | 1 |
What Works Clearinghouse Rating
Lourdes Anglada; María C. Cañadas; Bárbara M. Brizuela – International Journal of Science and Mathematics Education, 2025
The aim of this study was to determine how 5-year-old children identified the functional relationship of correspondence, and whether or not they generalized when working on a task that involved programmable robots. We conducted this study with 15 children (9 girls and 6 boys) in their last year of preschool education. The study was designed around…
Descriptors: Robotics, Preschool Children, Programming, Computation
Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
Chan, Wendy – Journal of Research on Educational Effectiveness, 2022
Over the past decade, statisticians have developed methods to improve generalizations from nonrandom samples using propensity score methods. While these methods contribute to generalization research, their effectiveness is limited by small sample sizes. Small area estimation is a class of model-based methods that address the imprecision due to…
Descriptors: Generalization, Probability, Sample Size, Statistical Analysis
Justin L. Kern – Journal of Educational and Behavioral Statistics, 2024
Given the frequent presence of slipping and guessing in item responses, models for the inclusion of their effects are highly important. Unfortunately, the most common model for their inclusion, the four-parameter item response theory model, potentially has severe deficiencies related to its possible unidentifiability. With this issue in mind, the…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Generalization
Sarah E. Robertson; Jon A. Steingrimsson; Issa J. Dahabreh – Evaluation Review, 2024
When planning a cluster randomized trial, evaluators often have access to an enumerated cohort representing the target population of clusters. Practicalities of conducting the trial, such as the need to oversample clusters with certain characteristics in order to improve trial economy or support inferences about subgroups of clusters, may preclude…
Descriptors: Randomized Controlled Trials, Generalization, Inferences, Hierarchical Linear Modeling
Ramírez, Rafael; Cañadas, María C.; Damián, Alba – ZDM: Mathematics Education, 2022
This study lies within the field of early-age algebraic thinking and focuses on describing the functional thinking exhibited by six sixth-graders (11- to 12-year-olds) enrolled in a curricular enhancement program. To accomplish the goals of this research, the structures the students established and the representations they used to express the…
Descriptors: Algebra, Grade 6, Mathematics Instruction, Geometry
Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
Reed, Zackery; Lockwood, Elise – Cognition and Instruction, 2021
In this paper, we present data from two iterative teaching experiments involving students' constructions of four basic counting problems. The teaching experiments were designed to leverage the generalizing activities of relating and extending to provide students with opportunities to reflect on initial combinatorial activity when constructing…
Descriptors: Computation, Generalization, Educational Experiments, Cognitive Processes
Lauren Kennedy; Andrew Gelman – Grantee Submission, 2021
Psychology research often focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we propose to fit a model allowing treatment to interact with background variables and then average over the distribution of these variables in the population. This…
Descriptors: Models, Generalization, Psychological Studies, Computation
Çakiroglu, Ünal; Çevik, Isak – Education and Information Technologies, 2022
In order to teach Computational Thinking (CT) skills to young students, Block-Based Programming Environments (BBPEs) are integrated into secondary school computer science (CS) education curricula. As a CT skill, abstraction is one of the prominent skills, which is difficult to enhance and measure. Researchers developed some scales for measuring…
Descriptors: Computation, Thinking Skills, Computer Science Education, Programming
Kiyici, Gülbin; Kahraman, Nurcan – Science Insights Education Frontiers, 2022
This study aims to analyze the reliability generalization of the computational thinking scale. There are five dimensions of computational thinking: creativity, algorithmic thinking, cooperativity, critical thinking, and problem-solving. A Bonett transformation was used to standardize the reliability coefficient of Cronbach's alpha. A…
Descriptors: Meta Analysis, Generalization, Computation, Thinking Skills
Jennifer Talbot; Amanda Cullen; Cheryl Lizano – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Understanding fraction as a quantity has been identified as a key developmental understanding. In this study, students in Grades 5, 8, and 11 were asked to compare the areas of two halves of the same square--a rectangle and a right triangle. Findings from this study suggest that students who understand fraction as a quantity use reasoning related…
Descriptors: Fractions, Mathematics Skills, Thinking Skills, Abstract Reasoning
Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…
Descriptors: Test Items, Computation, Item Analysis, Nonparametric Statistics
Lockwood, Elise; De Chenne, Adaline – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Computational activity is increasingly relevant in education and society, and researchers have investigated its role in students' mathematical thinking and activity. More work is needed within mathematics education to explore ways in which computational activity might afford development of mathematical practices. In this paper, we specifically…
Descriptors: Undergraduate Students, Computation, Problem Solving, Programming
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming