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Tunahan Yilmaz; Serkan Izmirli – Journal of Educational Technology and Online Learning, 2023
The objective of this research was to investigate the influence of both unplugged and plugged coding activities on the computational thinking skills of secondary school students. Using an experimental design with a pretest-posttest control group, the study indicated that students enhanced their computational thinking skills through engagement in…
Descriptors: Coding, Computation, Thinking Skills, Computer Software
Munn, Carol – Journal of Computers in Mathematics and Science Teaching, 2021
This paper explores Computational Thinking (CT) through the experiences and interactions of sixth-grade students as they were engaging in a science lesson utilizing robotics. This robotics unit institutes the shifting from traditional to engaging hands-on activities coupled with CT skills that are exciting, intriguing, and inviting to students.…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Munn, Carol A. – ProQuest LLC, 2020
This research study explored robotics as the catalyst for computational thinking (CT) by sixth-grade students as they are engaged in a science lesson. The interactions, understandings, and applications are discussed, along with the participants' connections and implementations of CT concepts (decomposition, abstraction, pattern recognition, and…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Malcolm, Peter – ProQuest LLC, 2013
The ability and to make good estimates is essential, as is the ability to assess the reasonableness of estimates. These abilities are becoming increasingly important as digital technologies transform the ways in which people work. To estimate is to provide an approximation to a problem that is mathematical in nature, and the ability to estimate is…
Descriptors: Middle School Students, Grade 7, Mathematics Skills, Computation
Chen, Fang; Chalhoub-Deville, Micheline – Language Testing, 2014
Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…
Descriptors: Regression (Statistics), Language Tests, Language Proficiency, Mathematics Achievement
Hedges, Larry V.; Hedberg, Eric C.; Kuyper, Arend M. – Grantee Submission, 2012
Intraclass correlations are used to summarize the variance decomposition in popula- tions with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Hierarchical Linear Modeling, Computation, Sampling
Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
Polly, Drew, Ed. – IGI Global, 2015
Common Core education standards establish a clear set of specific ideas and skills that all students should be able to comprehend at each grade level. In an effort to meet these standards, educators are turning to technology for improved learning outcomes. "Cases on Technology Integration in Mathematics Education" provides a compilation…
Descriptors: Technology Integration, Mathematics Instruction, Educational Technology, Spreadsheets