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Lian, Erin; Lin, Jiaju; Zhang, Jiping – Educational Technology Research and Development, 2023
Scratch is widely used as an introductory educational tool for computer programming. However, little is known about how the action of adding favorite projects on Scratch social media influences programming skill improvement. On Scratch social media, learners select personally intriguing projects to view and learn from. Favorite projects both…
Descriptors: Programming, Programming Languages, Skill Development, Social Media
Shan Jiang – ProQuest LLC, 2023
Piecewise latent growth modeling (PLGM) is a class of longitudinal models using a structural equation modeling framework to describe stage-like, discontinuous change of individuals over time. PLGM breaks the overall time window into non-overlapped segments where separate functions can be fitted to represent differential growth patterns for each…
Descriptors: Programming Languages, Structural Equation Models, Social Sciences, Research Methodology
Scharl, Anna; Zink, Eva – Large-scale Assessments in Education, 2022
Educational large-scale assessments (LSAs) often provide plausible values for the administered competence tests to facilitate the estimation of population effects. This requires the specification of a background model that is appropriate for the specific research question. Because the "German National Educational Panel Study" (NEPS) is…
Descriptors: National Competency Tests, Foreign Countries, Programming Languages, Longitudinal Studies
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
Musa Adekunle Ayanwale; Jamiu Oluwadamilare Amusa; Adekunle Ibrahim Oladejo; Funmilayo Ayedun – Interchange: A Quarterly Review of Education, 2024
The study focuses on assessing the proficiency levels of higher education students, specifically the physics achievement test (PHY 101) at the National Open University of Nigeria (NOUN). This test, like others, evaluates various aspects of knowledge and skills simultaneously. However, relying on traditional models for such tests can result in…
Descriptors: Item Response Theory, Difficulty Level, Item Analysis, Test Items
Alison E. Leonard; Shaundra B. Daily – International Journal of Education & the Arts, 2025
We designed, developed, and researched a virtual and in-person curriculum for how to explore computational thinking using dance choreography, focused on engaging upper elementary and middle school girls. However, this paper explores our observations and interactions with our young participants who identified as boys through a series of vignettes.…
Descriptors: Computation, Thinking Skills, Dance, Curriculum Development
Xue Zhang; Chun Wang – Grantee Submission, 2021
Among current state-of-art estimation methods for multilevel IRT models, the two-stage divide-and-conquer strategy has practical advantages, such as clearer definition of factors, convenience for secondary data analysis, convenience for model calibration and fit evaluation, and avoidance of improper solutions. However, various studies have shown…
Descriptors: Error of Measurement, Error Correction, Item Response Theory, Comparative Analysis
Lockwood, J. R.; Castellano, Katherine E.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2022
Many states and school districts in the United States use standardized test scores to compute annual measures of student achievement progress and then use school-level averages of these growth measures for various reporting and diagnostic purposes. These aggregate growth measures can vary consequentially from year to year for the same school,…
Descriptors: Accuracy, Prediction, Programming Languages, Standardized Tests
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Muñoz, Carmen; Pujadas, Geòrgia; Pattemore, Anastasiia – Second Language Research, 2023
This article addresses the benefits of audio-visual input for learning second language (L2) vocabulary and grammatical constructions. Specifically, it explores the role of frequency, the effects of subtitles and captions, and the mediating role of learner proficiency on language gains in two longitudinal studies. Study 1 targets vocabulary…
Descriptors: Linguistic Input, Teaching Methods, Vocabulary Development, Second Language Learning