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Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
Custer, Michael – Online Submission, 2015
This study examines the relationship between sample size and item parameter estimation precision when utilizing the one-parameter model. Item parameter estimates are examined relative to "true" values by evaluating the decline in root mean squared deviation (RMSD) and the number of outliers as sample size increases. This occurs across…
Descriptors: Sample Size, Item Response Theory, Computation, Accuracy
Shelley, Mack, Ed.; Admiraal, Wilfried, Ed.; Akcay, Hakan, Ed. – Online Submission, 2021
"Proceedings of International Conference on Education in Mathematics, Science and Technology" includes full papers presented at the International Conference on Education in Mathematics, Science and Technology (ICEMST) which took place on April 1-4, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share your…
Descriptors: Chemistry, Science Experiments, Climate, Problem Solving
Hanson, Ruby – Online Submission, 2015
Chemical stoichiometry is a conceptual framework that encompasses other concepts such as the mole, writing of chemical equations in word and representative form, balancing of equations and the equilibrium concept. The underlying concepts enable students to understand relationships among entities of matter and required amounts for use when…
Descriptors: Foreign Countries, Preservice Teachers, Trainees, Science Process Skills
Ingels, Steven J. – Online Submission, 2004
This paper addresses two audiences--those who design education trend studies that simultaneously have longitudinal and intercohort implications, and the secondary analysts who use such trend data. Four study series conducted for the U.S. Department of Education's National Center for Education Statistics (NCES) provide material for the paper: the…
Descriptors: Change, Cohort Analysis, Comparative Analysis, Computation