NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
No Child Left Behind Act 20012
What Works Clearinghouse Rating
Showing 1 to 15 of 29 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mehmet Küçük; Tarik Talan; Muhammet Demirbilek – Informatics in Education, 2024
This study investigated the effects of 3D model building activities with block codes on students' spatial thinking and computational thinking skills. The study group consists of 5th grade students in a secondary school in the Central Anatolia region of Turkey. For the study, a pretestposttest control group was utilized within the experimental…
Descriptors: Computation, Thinking Skills, Spatial Ability, Programming
Jinyong Hahn; John D. Singleton; Nese Yildiz – Annenberg Institute for School Reform at Brown University, 2023
Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…
Descriptors: Teacher Effectiveness, Models, Computation, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Bryan Keller; Zach Branson – Asia Pacific Education Review, 2024
Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…
Descriptors: Causal Models, Educational Research, Regression (Statistics), Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Lemonidis, Charalampos; Likidis, Nikos – International Journal of Mathematical Education in Science and Technology, 2021
In this study, we propose an integrated hierarchical model of computational estimation strategies (IHMCES), which can be used to organize a set of computational estimation strategies, used by a group of individuals, in strategy ranges. IHMCES can be used for the description of the repertoire, profile and flexibility of individuals regarding the…
Descriptors: Mathematics Instruction, Teaching Methods, Grade 5, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Gao, Niu; Semykina, Anastasia – Journal of Research on Educational Effectiveness, 2021
Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…
Descriptors: Value Added Models, Elementary School Teachers, Computation, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Desoete, Annemie; Baten, Elke – International Electronic Journal of Elementary Education, 2022
Several factors seem important to understand the nature of mathematical learning. Byrnes and Miller combined these factors into the Opportunity-Propensity model. In this study the model was used to predict the number-processing factor and the arithmetic fluency in grade 4 (n = 195) and grade 5 (n = 213). Gender, intelligence and affect (positive…
Descriptors: Mathematics Education, Elementary School Mathematics, Elementary School Students, Grade 4
Peer reviewed Peer reviewed
Direct linkDirect link
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Baker, Bruce D.; Weber, Mark; Srikanth, Ajay – Journal of Education Finance, 2021
This article explains the process behind estimating a National Education Cost Model (NECM) and generating from that model projections of per-pupil costs to achieve 2016 national average outcomes (reading and math grades 3 to 8) across all districts in the United States, from 2019-20 to 2020-21. This article is a follow-up to a preliminary report…
Descriptors: Models, Educational Finance, Grade 3, Grade 4
Peer reviewed Peer reviewed
Direct linkDirect link
Ferrando, Irene; Albarracín, Lluís – Mathematics Education Research Journal, 2021
One hundred four students aged 8 to 16 worked on one Fermi problem involving estimating the number of people that can fit in their school playground. We present a qualitative analysis of the different mathematical models developed by the students. The analysis of the students' written productions is based on the identification of the model of…
Descriptors: Mathematics Instruction, Problem Solving, Computation, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Widdall, Valerie; Alqahtani, Muteb; Kraly, Thomas – Social Studies and the Young Learner, 2018
In many elementary classrooms nationwide, less and less time is spent on social studies. Lack of attention to social studies is evident in states like New York where teacher evaluations are contingent on students' performance on two subjects: English Language Arts (ELA) and mathematics. In this article, the authors describe their experience…
Descriptors: Social Studies, Mathematics Instruction, Grade 5, Elementary School Teachers
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Goldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Yanik, H. Bahadir; Memis, Yasin – Teaching Children Mathematics, 2014
Engaging students in studies about conservation and sustainability can support their understanding of making environmental conscious decisions to conserve Earth. This article aims to contribute these efforts and direct students' attention to how they can use mathematics to make environmental decisions. Contributors to iSTEM: Integrating…
Descriptors: Mathematical Models, Teaching Methods, Conservation (Environment), Energy Conservation
Previous Page | Next Page »
Pages: 1  |  2