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Serhat Altiok; Memet Üçgül – Canadian Journal of Learning and Technology, 2024
In recent years, computational thinking has garnered increased attention as an essential problem-solving skill. One of the methods to develop students' computational thinking skills is robotic coding activities. This study sought to investigate the impact of robotic coding activities on the self-efficacy perceptions of secondary school students'…
Descriptors: Robotics, Computation, Thinking Skills, Secondary School Students
Robert D. Milligan; Donald J. Wink – Journal of Chemical Education, 2024
A key part of the practice of chemistry is the analysis of chemical composition, including through gravimetric analysis and spectrophotometry. However, the complexity of doing multiple calculations to obtain analytical evidence, such as that required to determine an empirical formula, presents a challenge if such analytical methods are to be…
Descriptors: Student Attitudes, Scientific Attitudes, Science Process Skills, Spectroscopy
Jiaxin Cui; Fan Yang; Yuanyi Peng; Saisai Wang; Xinlin Zhou – Infant and Child Development, 2024
Symbolic and situational mathematics are the two major representations of mathematical knowledge. Although previous literature has studied the relationship between the two from the perspective of teaching practice, learning effectiveness and behavioural performance, there is still a lack of empirical psychological research on cognitive mechanisms…
Descriptors: Mathematics Education, Symbols (Mathematics), Learning Processes, Elementary School Mathematics
Cristina Carrazza; Susan C. Levine – Grantee Submission, 2024
Children vary widely in their number knowledge by the time they enter kindergarten, and this variation is related to their future academic success. Although talk about number predicts children's early understanding of foundational number concepts, we know little about whether interventions can increase this talk nor about the types of number talk…
Descriptors: Numeracy, Numbers, Computation, Books
Tadayon, Manie; Pottie, Gregory J. – IEEE Transactions on Education, 2020
Contributions: Prior studies on education have mostly followed the model of the cross-sectional study, namely, examining the pretest and the posttest scores. This article shows that students' knowledge throughout the intervention can be estimated by time-series analysis using a hidden Markov model (HMM). Background: Analyzing time series and the…
Descriptors: Prediction, Performance, Educational Games, Markov Processes
Tang, Xiaodan; Karabatsos, George; Chen, Haiqin – Applied Measurement in Education, 2020
In applications of item response theory (IRT) models, it is known that empirical violations of the local independence (LI) assumption can significantly bias parameter estimates. To address this issue, we propose a threshold-autoregressive item response theory (TAR-IRT) model that additionally accounts for order dependence among the item responses…
Descriptors: Item Response Theory, Test Items, Models, Computation
Litwin, Piotr; Milkowski, Marcin – Cognitive Science, 2020
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains…
Descriptors: Prediction, Cognitive Processes, Epistemology, Theories
Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
Van den Heuvel-Panhuizen, Marja; Elia, Iliada – ZDM: The International Journal on Mathematics Education, 2020
In this study we investigated the structure of quantitative competence of kindergartners by testing a hypothesized four-factor model of quantitative competence consisting of the components counting, subitizing, additive reasoning and multiplicative reasoning. Data were collected from kindergartners in the Netherlands (n = 334) and in Cyprus (n =…
Descriptors: Kindergarten, Numeracy, Foreign Countries, Mathematics Skills
Fisher, Aidan A. E. – Journal of Chemical Education, 2020
The drive in computational methods and more intuitive software has seen a rise in the number of publications in this area in recent years. Computational simulations can be found in many areas of science from computational biology and chemistry to fundamental physics. These may help synthetic chemists in their drug discovery endeavors and…
Descriptors: Chemistry, Computation, Kinetics, Computer Software
Goswami, Sukalyan; Mukherjee, Kuntal – International Journal of Web-Based Learning and Teaching Technologies, 2020
Virtual resources team up to create a computational grid, which is used in computation-intensive problem solving. A majority of these problems require high performance resources to compute and generate results, making grid computation another type of high performance computing. The optimization in computational grids relates to resource…
Descriptors: Mathematics, Scheduling, Computation, Resources
Rubio-Aparicio, María; López-López, José Antonio; Viechtbauer, Wolfgang; Marín-Martínez, Fulgencio; Botella, Juan; Sánchez-Meca, Julio – Journal of Experimental Education, 2020
Mixed-effects models can be used to examine the association between a categorical moderator and the magnitude of the effect size. Two approaches are available to estimate the residual between-studies variance, t[superscript 2][subscript res] --namely, separate estimation within each category of the moderator versus pooled estimation across all…
Descriptors: Meta Analysis, Effect Size, Computation, Classification
Farmer, Ryan L.; Floyd, Randy G.; Reynolds, Matthew R.; Berlin, Kristoffer S. – Contemporary School Psychology, 2020
Intelligence tests produce composite scores that are interpreted as indexes of psychometric g. Like all measures, general intelligence composites are not pure representations of their intended construct, so it is important to evaluate the score characteristics that affect accuracy in measurement. In this study, we identified three characteristics…
Descriptors: Intelligence Tests, Scores, Psychometrics, Accuracy
Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
Patrick Sullivan – Mathematics Teacher: Learning and Teaching PK-12, 2020
This article asks the question: is the "Last Banana" game fair? Engaging in this exploration provides students with the mathematical power to answer the question and the mathematical opportunity to explore important statistical ideas. Students engage in simulations to calculate experimental probabilities and confirm those results by…
Descriptors: Mathematics Instruction, Educational Games, Probability, Simulation

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