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Alexander Kwon; Kyungtae Lee – Evaluation Review, 2025
We study the external validity of instrumental variable estimation. The key assumption we impose for external validity is conditional external unconfoundedness among compliers, which means that the treatment effect and target selection are independent among compliers conditional on covariates. We study this assumption with a case study about the…
Descriptors: Validity, Computation, Time Management, Fuels
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Verena Steinhof; Anna Schroeger; Roman Liepelt; Laura Sperl – Cognitive Research: Principles and Implications, 2025
While decades of research have deepened our understanding of time perception, the perception of (manipulated) video speed has been relatively underexplored but is gaining interest with recent technological advances. This study systematically investigated human perception of "video speed," "clip duration" and "original…
Descriptors: Time Perspective, Video Technology, Motion, Task Analysis
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Jiaci Lin; Qijiang Shu; Rong Chen; Chunlin Gao; Kaiqing Xu; Keli Yin; Fuhua Yang – International Journal of Technology and Design Education, 2025
Computational thinking (CT) is an essential component of critical skills for university students, representing the ability to analyze and solve problems. In accordance with constructivist learning theory and the core elements of cultivating CT, this research has developed a Project-Based Teaching approach with computational thinking as its focal…
Descriptors: Computation, Thinking Skills, College Students, Active Learning
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Chinnaphat Junruang; Issara Kanjug – Educational Process: International Journal, 2025
Background/purpose: In response to the increasing need to foster future-ready competencies, this study investigates the relationship between computational thinking (CT) and creative thinking (CrT) in early childhood. Traditional early education often overlooks the integration of these higher-order cognitive skills. This research aims to examine…
Descriptors: Foreign Countries, Preschool Children, Kindergarten, Artificial Intelligence
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Daniel Ojeda-del Sol; Anthony Aguiar-Medina; Isel Pascual-Alonso – Biochemistry and Molecular Biology Education, 2025
The study and analysis of enzymatic reactions are essential for characterizing various biological systems. As part of these procedures, it is important to understand how to quantify the biological activity of these proteins in terms of enzymatic activity. This work proposes a general equation for determining enzymatic activity based on…
Descriptors: Biochemistry, Equations (Mathematics), Data, Science Activities
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Sheng-Yi Wu; Yu-Sheng Su – Asia Pacific Education Review, 2025
Education on computational thinking skills has been a focus in many countries. Previous studies have investigated educational board games based on computational thinking skills. However, there is a lack of research on the cognitive behaviors and cognitive styles promoted by these educational board games. Therefore, in this study, educational board…
Descriptors: Outcomes of Education, Computation, Thinking Skills, Educational Games
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Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2025
Consider the conventional multilevel model Y=C[gamma]+Zu+e where [gamma] represents fixed effects and (u,e) are multivariate normal random effects. The continuous outcomes Y and covariates C are fully observed with a subset Z of C. The parameters are [theta]=([gamma],var(u),var(e)). Dempster, Rubin and Tsutakawa (1981) framed the estimation as a…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Sampling, Error of Measurement
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Alejandro Espinal; Camilo Vieira; Alejandra J. Magana – TechTrends: Linking Research and Practice to Improve Learning, 2025
Promoting computational thinking (CT) integration in curricula requires well-prepared teachers with pedagogical content knowledge (PCK). Existing research often uses pretest/posttest instruments or teacher reflections to assess outcomes of professional development programs (PDP). Still, this approach is limited and can be misaligned with other…
Descriptors: Teacher Evaluation, Pedagogical Content Knowledge, Computation, Thinking Skills
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Chuyan Qu; Feng Sheng; Ruining Wang; Elizabeth M. Brannon – Journal of Numerical Cognition, 2025
Understanding how non-numerical visual features systematically distort numerosity perception holds promise for unveiling the processes that give rise to our visual number sense. Recent studies show that increasing visual coherence systematically increases perceived numerosity, with this effect strengthening over development (DeWind et al., 2020;…
Descriptors: Number Concepts, Mathematical Models, Decision Making, Visual Stimuli
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Haozhe Jiang; A. Y. M. Atiquil Islam; Xiaoqing Gu; Jia Guan – Journal of Research in Science Teaching, 2024
Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill-defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling…
Descriptors: Cognitive Style, Scientific Attitudes, STEM Education, Computation
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Xiaoling Zhang; Fenia Aivaloglou; Marcus Specht – European Journal of STEM Education, 2024
Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…
Descriptors: Computation, Thinking Skills, Higher Education, 21st Century Skills
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Davi Bernardo Silva; Deborah Ribeiro Carvalho; Carlos N. Silla – IEEE Transactions on Learning Technologies, 2024
Throughout a programming course, students develop various source code tasks. Using these tasks to track students' progress can provide clues to the strengths and weaknesses found in each learning topic. This practice allows the teacher to intervene in learning in the first few weeks of class and maximize student gains. However, the biggest…
Descriptors: Computation, Models, Ability Grouping, Programming
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Valentina Gliozzi – Cognitive Science, 2024
We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…
Descriptors: Infants, Computation, Models, Cognitive Development
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Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
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Yonggang Wei; Lu Wang; Yi Tang; Junyue Su; Yaxian Lei; Wanran Peng – Journal of Computer Assisted Learning, 2024
Background: The pedagogy of computational thinking has gained extensive traction across numerous nations globally, with a particular emphasis on nurturing computational thinking in the formative years of early childhood. Nevertheless, the efficacy of diverse instructional approaches in the domain of programming education, with regards to fostering…
Descriptors: Programming, Computation, Thinking Skills, Young Children
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