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Chantal Buteau; Eric Muller; Joyce Mgombelo; Ana Isabel Sacristán; Jessica Sardella; Marisol Santacruz-Rodríguez – Canadian Journal of Science, Mathematics and Technology Education, 2025
In this paper, we are interested in the learning outcomes from undergraduate students' digital experiences of conducting multiple pure and applied mathematics investigations supported by programming technology. Our case study encompasses a sequence of three project-based mathematics courses implemented for over 20 years at Brock University. We…
Descriptors: College Mathematics, Student Attitudes, Programming, Investigations
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
Beck, Horst P.; Zhou, Meijuan; Hasanovic, Pamela; Gießelmann, Elias; Springborg, Michael – Journal of Chemical Education, 2021
In this work, we venture to show how careful use of a program for quantum chemical calculations (such as VASP) may enrich teaching in solid-state chemistry and how principles of thermodynamics contribute to a validation of phase diagrams and reaction pathways using the quasiternary system Li[subscript 2]O-Al[subscript 2]O[subscript…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Thermodynamics
Bramley, Paul; López-López, José A.; Higgins, Julian P. T. – Research Synthesis Methods, 2021
Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…
Descriptors: Meta Analysis, Bias, Research Problems, Computation
Wang, Wei-Jhih; Devine, Beth; Bansal, Aasthaa; White, H. Steve; Basu, Anirban – Research Synthesis Methods, 2021
Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed…
Descriptors: Meta Analysis, Data, Statistical Distributions, Computation
Blozis, Shelley A.; Harring, Jeffrey R. – Sociological Methods & Research, 2021
Nonlinear mixed-effects models are models in which one or more coefficients of the growth model enter in a nonlinear manner, such as appearing in the exponent of the growth function. In their applications, the within-individual residuals are often assumed to be independent with constant variance across time, an assumption that implies that the…
Descriptors: Statistical Analysis, Models, Computation, Goodness of Fit
Kontomaris, Stylianos Vasileios; Malamou, Anna – Physics Teacher, 2021
Calculating the duration of a motion when the applied net force on the moving body changes with time is usually a challenging task. In most cases, the only example of the duration of a motion when the acceleration is not constant presented to introductory physics students worldwide is the example of harmonic motion. A discussion with respect to…
Descriptors: Physics, Science Instruction, Motion, Introductory Courses
Köhler, Carmen; Hartig, Johannes; Naumann, Alexander – Educational Psychology Review, 2021
The article focuses on estimating effects in nonrandomized studies with two outcome measurement occasions and one predictor variable. Given such a design, the analysis approach can be to include the measurement at the previous time point as a predictor in the regression model (ANCOVA), or to predict the change-score of the outcome variable…
Descriptors: Research Design, Statistical Analysis, Educational Research, Computation
Hollenbach, Florian M.; Bojinov, Iavor; Minhas, Shahryar; Metternich, Nils W.; Ward, Michael D.; Volfovsky, Alexander – Sociological Methods & Research, 2021
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this article, we present a simple-to-use method for generating multiple imputations (MIs) using a Gaussian copula. The…
Descriptors: Data, Statistical Analysis, Statistical Distributions, Computation
Wijeratne, Chanakya; Zazkis, Rina – Teaching Mathematics and Its Applications, 2021
In this study we consider a classic paradox of infinity and its variations and suggest how the sources of misleading intuition can be analysed using the concept of uniform convergence of functions. We then examine how six mathematics honour students engage with a variation of the paradox. Despite their advanced mathematical training, the…
Descriptors: Mathematical Concepts, Intuition, Misconceptions, Logical Thinking
Alper, M. Patan – Physics Education, 2021
This study focuses on the experimental demonstration of the definition of kelvin using a triple point of water (TPW) cell and estimates the measurement uncertainty. The first part of this article is to construct the measurement setup and perform the measurements. The second stage is related with the calculation of uncertainty according to guides…
Descriptors: Science Experiments, Science Instruction, Computation, Thermodynamics
Rusydi, Febdian; Madinah, Roichatul; Puspitasari, Ira; Mark-Lee, Wun F.; Ahmad, Azizan; Rusydi, Andrivo – Biochemistry and Molecular Biology Education, 2021
The fundamental mechanism of biochemistry lies on the reaction kinetics, which is determined by the reaction pathways. Interestingly, the reaction pathway is a challenging concept for undergraduate students. Experimentally, it is difficult to observe, and theoretically, it requires some degree of physics knowledge, namely statistical and quantum…
Descriptors: Biochemistry, Science Instruction, Kinetics, Scientific Concepts
Berk, Richard; Heidari, Hoda; Jabbari, Shahin; Kearns, Michael; Roth, Aaron – Sociological Methods & Research, 2021
Objectives: Discussions of fairness in criminal justice risk assessments typically lack conceptual precision. Rhetoric too often substitutes for careful analysis. In this article, we seek to clarify the trade-offs between different kinds of fairness and between fairness and accuracy. Methods: We draw on the existing literatures in criminology,…
Descriptors: Justice, Crime, Risk Assessment, Accuracy
Paek, Insu; Liang, Xinya; Lin, Zhongtian – Measurement: Interdisciplinary Research and Perspectives, 2021
The property of item parameter invariance in item response theory (IRT) plays a pivotal role in the applications of IRT such as test equating. The scope of parameter invariance when using estimates from finite biased samples in the applications of IRT does not appear to be clearly documented in the IRT literature. This article provides information…
Descriptors: Item Response Theory, Computation, Test Items, Bias
Michael A. Lewis – Numeracy, 2021
The COVID-19 pandemic is arguably the worst crisis the world has faced, so far, in this new century. We haven't seen a pandemic like this since the "1918 Flu" at the beginning of the last century, and, as of this writing, there appears to be no end in sight. What those of us who're focused on quantitative methods have noticed, in…
Descriptors: COVID-19, Pandemics, Probability, Death

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