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Rasikh Tariq; M. S. Ramírez-Montoya; Tabbi Wilberforce Awotwe; V. Fernández-Castro; M. Martínez-Reyes – Journal of Advanced Academics, 2025
The importance of User Experience Measurement allows understanding how experiences can be optimized to meet functional and emotional needs, complemented with Design-Based Research to scale the redesign of educational platforms, four online educational platforms presented are powered by Artificial Intelligence and educational data mining to offer a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computation
Xia Li; Cheri Fancsali; Janice Lee; Rishika Jain – Research Alliance for New York City Schools, 2025
New York City Public Schools' Computer Science for All (CS4All) initiative set out to ensure that every student receives at least one meaningful, high-quality computer science (CS) experience within each grade band (K-2, 3-5, 6-8, and 9-12). As described in previous work, the percentage of schools offering some form of CS tripled from 15 percent…
Descriptors: Public Schools, Elementary Secondary Education, Computer Science, Outcomes of Education
Jakob Škrobar; Andrej Flogie; Alenka Lipovec; Nika Golob – Center for Educational Policy Studies Journal, 2025
Developing computational thinking in early primary education has gained increasing attention, with unplugged methods recognised as particularly effective for young learners. However, teachers' assessment of computational thinking, especially through process-oriented approaches, remains underexplored. The present study investigates how the…
Descriptors: Elementary School Teachers, Reflection, Computation, Thinking Skills
Nederhand, Marloes L.; Tabbers, Huib K.; Rikers, Remy M. J. P. – Applied Cognitive Psychology, 2019
This experimental study explores whether feedback in the form of standards helps students in giving more accurate performance estimates not only on current tasks but also on new, similar tasks and whether performance level influences the effect of standards. We provided 122 first-year psychology students with seven texts that contained key terms.…
Descriptors: Standards, Feedback (Response), Accuracy, College Freshmen
van Aert, Robbie C. M.; van Assen, Marcel A. L. M.; Viechtbauer, Wolfgang – Research Synthesis Methods, 2019
The effect sizes of studies included in a meta-analysis do often not share a common true effect size due to differences in for instance the design of the studies. Estimates of this so-called between-study variance are usually imprecise. Hence, reporting a confidence interval together with a point estimate of the amount of between-study variance…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Effect Size
Wang, Chia-Chun; Lee, Wen-Chung – Research Synthesis Methods, 2019
A systematic review and meta-analysis is an important step in evidence synthesis. The current paradigm for meta-analyses requires a presentation of the means under a random-effects model; however, a mean with a confidence interval provides an incomplete summary of the underlying heterogeneity in meta-analysis. Prediction intervals show the range…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Prediction
Wang, Jinhui; Ricardo, Bernard – Physics Teacher, 2019
Moments of inertia (MOIs) are usually derived via substantial integration and may intimidate undergraduates without prior backgrounds in calculus. This paper presents an intuitive geometric operation, termed "squashing," that transforms an object into an equivalent one with a reduced dimension, whose MOI is simpler to determine. The…
Descriptors: Undergraduate Students, Mechanics (Physics), Geometric Concepts, Science Process Skills
Raykov, Tenko; Marcoulides, George A.; Harrison, Michael; Menold, Natalja – Educational and Psychological Measurement, 2019
This note confronts the common use of a single coefficient alpha as an index informing about reliability of a multicomponent measurement instrument in a heterogeneous population. Two or more alpha coefficients could instead be meaningfully associated with a given instrument in finite mixture settings, and this may be increasingly more likely the…
Descriptors: Statistical Analysis, Test Reliability, Measures (Individuals), Computation
Shieh, Gwowen – Journal of Experimental Education, 2019
The analysis of covariance (ANCOVA) is a useful statistical procedure that incorporates covariate features into the adjustment of treatment effects. The consequences of omitted prognostic covariates on the statistical inferences of ANCOVA are well documented in the literature. However, the corresponding influence on sample-size calculations for…
Descriptors: Sample Size, Statistical Analysis, Computation, Accuracy
Zopluoglu, Cengiz – International Journal of Assessment Tools in Education, 2019
Unusual response similarity among test takers may occur in testing data and be an indicator of potential test fraud (e.g., examinees copy responses from other examinees, send text messages or pre-arranged signals among themselves for the correct response, item pre-knowledge). One index to measure the degree of similarity between two response…
Descriptors: Item Response Theory, Computation, Cheating, Measurement Techniques
Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2019
The purpose of this study is to investigate whether factor scores can be used instead of ability estimation and total score. For this purpose, the relationships among total score, ability estimation, and factor scores were investigated. In the research, Turkish subtest data from the Transition from Primary to Secondary Education (TEOG) exam…
Descriptors: Foreign Countries, Scores, Computation, Item Response Theory
Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
Kelly-Ann Gesuelli; Nancy C. Jordan – Journal of Educational Psychology, 2024
Fraction arithmetic facility is fundamental to learning more advanced math topics. However, attaining the ability to add and subtract fractions is hard for many students. The present longitudinal study examined students' growth on simple addition and subtraction word problems between fourth and sixth grades (N = 536). Latent class growth analyses…
Descriptors: Fractions, Arithmetic, Error Patterns, Mathematics Instruction
Büsra Ergin – Novitas-ROYAL (Research on Youth and Language), 2024
The study was carried out with 45 web pages reached as a result of scanning the relevant keywords in the 'Google' search engine, eliminating repetitive web pages, and applying the inclusion and exclusion criteria. Content analysis, readability calculation, and statistical analyses of the data obtained from web-based information sources were…
Descriptors: Game Based Learning, Web Sites, Search Engines, Readability

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