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Mix, Kelly S.; Bower, Corinne A.; Yuan, Lei; Hancock, Gregory R.; Smith, Linda B. – Educational Psychology, 2023
The current longitudinal study measured 279 kindergartners' (M[subscript age] = 5.76 years; SD = 0.55; 135 females) place value understanding using both approximate and syntactic measures based on previous evidence that early variation in performance on approximate measures was associated with subsequent syntactic place value understanding. In the…
Descriptors: Kindergarten, Number Concepts, Computation, Grade 2
Huang, Joey; Parker, Miranda C. – Computer Science Education, 2023
Background and Context: Computational thinking (CT) is a critical part of computing education in middle school. The existing practices of collaboration and collaborative design activities at this education level pairs well with CT practices, but this interaction has previously been under-explored in the existing literature. Objective: In this…
Descriptors: Computation, Thinking Skills, Cooperative Learning, Skill Development
Kenneth A. Frank; Qinyun Lin; Spiro Maroulis – Grantee Submission, 2023
Beginning with debates about the effects of smoking on lung cancer, sensitivity analyses characterizing the hypothetical unobserved conditions that can alter statistical inferences have had profound impacts on public policy. One of the most ascendant techniques for sensitivity analysis is Oster's (2019) coefficient of proportionality, which…
Descriptors: Computation, Statistical Analysis, Statistical Inference, Correlation
Seo, JooYoung; Moon, Jewoong; Choi, Gi Woong; Do, Jaewoo – TechTrends: Linking Research and Practice to Improve Learning, 2022
The purpose of this paper is to explore three computational approaches to ethnographic research within digital learning environments: virtual ethnography; quantitative ethnography; and computational ethnography. Recently, researchers have become more interested in computational ethnographic approaches due to their alignment with the massive…
Descriptors: Computation, Ethnography, Educational Research, Electronic Learning
Raykov, Tenko; Menold, Natalja; Leer, Jane – Educational and Psychological Measurement, 2022
Two- and three-level designs in educational and psychological research can involve entire populations of Level-3 and possibly Level-2 units, such as schools and educational districts nested within a given state, or neighborhoods and counties in a state. Such a design is of increasing relevance in empirical research owing to the growing popularity…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Research Design
Vatsalan, Dinusha; Rakotoarivelo, Thierry; Bhaskar, Raghav; Tyler, Paul; Ladjal, Djazia – British Journal of Educational Technology, 2022
With Big Data revolution, the education sector is being reshaped. The current data-driven education system provides many opportunities to utilize the enormous amount of collected data about students' activities and performance for personalized education, adapting teaching methods, and decision making. On the other hand, such benefits come at a…
Descriptors: Privacy, Risk, Data, Markov Processes
Cross, Rod – Physics Education, 2022
Calculations are presented showing that the usual 'faster than g' demonstration has a surprising property. That is, a rod hinged at its bottom end rotates at an exponentially increasing rate until it falls with maximum vertical acceleration, unlike an object that falls freely by gravity alone. If the rod is hinged at its top end and released from…
Descriptors: Physics, Science Instruction, Teaching Methods, Computation
Jiang, Zhehan; Raymond, Mark; DiStefano, Christine; Shi, Dexin; Liu, Ren; Sun, Junhua – Educational and Psychological Measurement, 2022
Computing confidence intervals around generalizability coefficients has long been a challenging task in generalizability theory. This is a serious practical problem because generalizability coefficients are often computed from designs where some facets have small sample sizes, and researchers have little guide regarding the trustworthiness of the…
Descriptors: Monte Carlo Methods, Intervals, Generalizability Theory, Error of Measurement
Semenenko, Liliia; Kirsanov, Serhii; Onofriichuk, Petro; Vasianovych, Mykola; Levchenko, Ihor – Journal of Curriculum and Teaching, 2022
High requirements for professional training of Defence Specialists were and remain the main guarantee of successful functioning of any military structure. Continuous improvement of the educational process in higher military educational institutions is the basis for its transformation to the conditions of the current situation in the world. In the…
Descriptors: Military Training, Mathematical Models, Higher Education, Study
Xu, Chang; Furuya-Kanamori, Luis; Lin, Lifeng – Research Synthesis Methods, 2022
In evidence synthesis, dealing with zero-events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one-stage methods have their unique…
Descriptors: Evidence, Synthesis, Statistical Analysis, Meta Analysis
Pasquarella, Kaitlyn; Jardine, Kayla; Hill, Kelly; Jones, Emma; Elia, Ralph; Gibbs, Greglynn; Sonntag, Matthew; Tribe, Lorena – Journal of Chemical Education, 2022
Computational chemistry techniques are used along with spectroscopy to characterize acetaminophen synthesized in an undergraduate chemistry laboratory experiment. The inclusion of electronic structure calculations to provide infrared and Raman spectra in the synthesis and characterization of acetaminophen connects over-the-counter medications with…
Descriptors: Chemistry, Experiential Learning, Undergraduate Students, Computation
Bati, Kaan – Education and Information Technologies, 2022
This research was aimed at summarizing experimental evidence regarding computational thinking and programming conducted in early childhood education in terms of the variables of plugged-in versus unplugged, age, and gender. For this purpose, the WoS, Scopus, and ERIC databases were scanned, and studies determined to be within the scope of the…
Descriptors: Computation, Thinking Skills, Programming, Early Childhood Education
Man, Kaiwen; Schumacker, Randall; Morell, Monica; Wang, Yurou – Educational and Psychological Measurement, 2022
While hierarchical linear modeling is often used in social science research, the assumption of normally distributed residuals at the individual and cluster levels can be violated in empirical data. Previous studies have focused on the effects of nonnormality at either lower or higher level(s) separately. However, the violation of the normality…
Descriptors: Hierarchical Linear Modeling, Statistical Distributions, Statistical Bias, Computation
Rios, Joseph A. – Educational and Psychological Measurement, 2022
The presence of rapid guessing (RG) presents a challenge to practitioners in obtaining accurate estimates of measurement properties and examinee ability. In response to this concern, researchers have utilized response times as a proxy of RG and have attempted to improve parameter estimation accuracy by filtering RG responses using popular scoring…
Descriptors: Guessing (Tests), Classification, Accuracy, Computation
Levenson, Esther S.; Barkai, Ruthi; Tirosh, Dina; Tsamir, Pessia – Educational Studies in Mathematics, 2022
This study focuses on adults who are neither preschool teachers nor professional caregivers and investigates their beliefs regarding the importance of engaging young children with numerical activities. It also examines the types of numerical activities adults report having observed children engaging with, as well as the types of activities they…
Descriptors: Adults, Beliefs, Young Children, Numbers