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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
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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
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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
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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
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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
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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
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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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Doroudi, Shayan; Thomas, Philip S.; Brunskill, Emma – Grantee Submission, 2017
We consider the problem of off-policy policy selection in reinforcement learning: using historical data generated from running one policy to compare two or more policies. We show that approaches based on importance sampling can be "unfair"--they can select the worse of two policies more often than not. We give two examples where the…
Descriptors: Sampling, Policy Formation, Policy Analysis, Reinforcement
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Šedivá, Blanka – International Journal for Technology in Mathematics Education, 2019
The Monte Carlo method is one of the basic simulation statistical methods which can be used both to demonstrate basic probability and statistical concepts as well as to analyse the behaviour stochastic models. The introduction part of the article provides a brief description of the Monte Carlo method. The main part of the article is concentrated…
Descriptors: Simulation, Monte Carlo Methods, Teaching Methods, Mathematics Instruction
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Bowen, Judy; Coben, Diana – Adults Learning Mathematics, 2019
We propose that by more closely aligning interdisciplinary work in (a) numeracy education for medication dosage calculations and (b) model-driven design for medical devices that are used for delivery of medication we may help address the incident-rate in incorrect medication calculations and delivery, given that such devices commonly require the…
Descriptors: Mathematics Education, Numeracy, Drug Therapy, Mathematics Skills
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Harvey, Hugh; Keen, James; Robinson, Chester; Roff, James; Gross, Thilo – Assessment & Evaluation in Higher Education, 2019
Group work, where students work on projects to overcome challenges together, has numerous advantages, including learning of important transferable skills, better learning experience and increased motivation. However, in many academic systems the advantages of group projects clash with the need to assign individualised marks to students. A number…
Descriptors: Student Evaluation, Grading, Cooperative Learning, Student Projects
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Li, Wei; Konstantopoulos, Spyros – Journal of Experimental Education, 2019
Education experiments frequently assign students to treatment or control conditions within schools. Longitudinal components added in these studies (e.g., students followed over time) allow researchers to assess treatment effects in average rates of change (e.g., linear or quadratic). We provide methods for a priori power analysis in three-level…
Descriptors: Research Design, Statistical Analysis, Sample Size, Effect Size
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Baranyai, Tünde; Egri, Edit; Molnár, Andrea Éva; Zsoldos-Marchis, Iuliana – Acta Didactica Napocensia, 2019
Mental calculation is an important competence in everyday life, and it is essential especially for a future primary school teacher. In this research the efficacy of different games, as didactic games, board-games, and mobile games for developing mental calculation skills were studied. The results shows that didactic games and board-games were…
Descriptors: Preservice Teachers, Elementary School Teachers, Thinking Skills, Skill Development
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