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National Center on Intensive Intervention, 2020
The purpose of this guide is to provide strategies and materials for developing and implementing lessons for students who need intensive instruction in the area of place value, numeracy, and counting. Resource room teachers, math interventionists, and others working with struggling students may find this guide helpful. Within college- and…
Descriptors: Mathematics Instruction, Computation, Mathematical Concepts, Concept Formation
Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
Stott, Angela Elisabeth – Chemistry Education Research and Practice, 2023
The unit factor method, a generic strategy for solving any proportion-related problem, is known to be effective at reducing cognitive load through unit-cancellation providing step-by-step guidance. However, concerns have been raised that it can be applied mindlessly. This primarily quantitative prepost study investigates the efficacy of…
Descriptors: Chemistry, Science Instruction, Instructional Effectiveness, Teaching Methods
Cassie F. Quigley; Danielle Herro; Holly Plank; Aileen Owens; Oluwadara Abimbade – Computer Science Education, 2024
Background and context: Historically underrepresented youth in computer science persistently experience barriers making it difficult to see themselves in the computer science field including computer science programs and curricula with consistent stereotypical references focused on competition, individualism, and male-associated topics…
Descriptors: Computer Science Education, Minority Group Students, Student Interests, Self Concept
Weipeng Yang – Journal of Educational Computing Research, 2024
Computational Thinking (CT) is essential for developing creativity, problem-solving, and digital competence in the 21st century. Coding tools like robotic toys and tablet apps have become popular in early childhood education to support CT development, but there is a debate on which tool is more effective. Little evidence exists on the effect of…
Descriptors: Coding, Preschool Children, Computation, Thinking Skills
Anna Åkerfeldt; Susanne Kjällander; Petra Petersen – Technology, Pedagogy and Education, 2024
In the following research review, 57 articles were analysed to get an insight into research in the field of computational thinking and programming in K-12. The results show that empirical research regarding programming and computational thinking is prevalent in the USA and Greece. The articles were published in 43 different academic journals. A…
Descriptors: Research Reports, Thinking Skills, Computation, Content Analysis
Jessica F. Cantlon; Katherine T. Becker; Caroline M. DeLong – Journal for STEM Education Research, 2024
STEM experiences that capture students' curiosity have a unique role in inspiring awe in science, enculturing science engagement, and recruiting students to pursue STEM careers. Here, we present a unique interdisciplinary STEM experience for elementary school students that teaches them to write computer code to test primate intelligence at a zoo…
Descriptors: Authentic Learning, Interdisciplinary Approach, STEM Education, Elementary School Students
Yanjun Pan; Elizabeth L. Adams; Leanne R. Ketterlin-Geller; Eric C. Larson; Corey Clark – Educational Technology Research and Development, 2024
Computational thinking is acknowledged as an essential competency for everyone to learn. However, teachers find it challenging to implement the existing learning approaches in K-12 settings because the existing approaches often focus on teaching computing concepts and skills (i.e., programming skills) rather than on helping students develop their…
Descriptors: Middle School Students, Game Based Learning, Mathematics Education, Computation
Harold Abelson, Editor; Siu-Cheung Kong, Editor – MIT Press, 2024
In today's digital society, computational thinking (CT) is a critical component of all children's education. In "Computational Thinking Curricula in K-12," editors Harold Abelson and Siu-Cheung Kong present a range of professional perspectives on the most effective ways to integrate CT into school curricula. Their edited volume, which…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Educational Policy
Curtin, François – Research Synthesis Methods, 2017
Clinical trials have different designs: In late stage drug development, the parallel trial design is the most frequent one; however, the crossover design is not rare; different techniques are used to analyse their results. Although both designs measure the same treatment effect, combining parallel and crossover trials in a meta-analysis is not…
Descriptors: Meta Analysis, Computation, Research Design, Drug Therapy
Kara, Yusuf; Kamata, Akihito – Educational Sciences: Theory and Practice, 2017
A multilevel Rasch model using a hierarchical generalized linear model is one approach to multilevel item response theory (IRT) modeling and is referred to as a one-parameter hierarchical generalized linear logistic model (1-P HGLLM). Although it has the flexibility to model nested structure of data with covariates, the model assumes the normality…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Statistical Distributions, Computation
Minchen, Nathan D.; de la Torre, Jimmy; Liu, Ying – Journal of Educational and Behavioral Statistics, 2017
Nondichotomous response models have been of greater interest in recent years due to the increasing use of different scoring methods and various performance measures. As an important alternative to dichotomous scoring, the use of continuous response formats has been found in the literature. To assess finer-grained skills or attributes and to…
Descriptors: Models, Psychometrics, Test Theory, Maximum Likelihood Statistics
Landy, David; Charlesworth, Arthur; Ottmar, Erin – Cognitive Science, 2017
How do people stretch their understanding of magnitude from the experiential range to the very large quantities and ranges important in science, geopolitics, and mathematics? This paper empirically evaluates how and whether people make use of numerical categories when estimating relative magnitudes of numbers across many orders of magnitude. We…
Descriptors: Undergraduate Students, Computation, Mathematics Skills, Number Concepts
Lockwood, Elise; Reed, Zackery; Caughman, John S. – International Journal of Research in Undergraduate Mathematics Education, 2017
The multiplication principle serves as a cornerstone in enumerative combinatorics. The principle underpins many basic counting formulas and provides students with a critical element of combinatorial justification. Given its importance, the way in which it is presented in textbooks is surprisingly varied. In this paper, we analyze a number of…
Descriptors: Multiplication, Textbooks, Mathematics Instruction, Mathematical Concepts
Bulone, Vincent William – ProQuest LLC, 2017
The purpose of this dissertation was to study aspects of how post-secondary students understand combinatorial problems. Within this dissertation, I considered understanding through two different lenses: i) student connections to previous problems; and ii) common combinatorial distinctions such as ordered versus unordered and repetitive versus…
Descriptors: College Students, Computation, Comprehension, Mathematical Applications

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