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Yang, Sojung; Park, Seongbin – Informatics in Education, 2014
There are many important issues in informatics and many agree that algorithms and programming are most important issues that need to be included in informatics education (Dagiene and Jevsikova, 2012). In this paper, we propose how some of these issues can be easily taught using the notion of a formal system which consists of axioms and inference…
Descriptors: Information Science, Teaching Methods, Inferences, Validity
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Satake, Eiki; Murray, Amy Vashlishan – Journal of Statistics Education, 2014
Although Bayesian methodology has become a powerful approach for describing uncertainty, it has largely been avoided in undergraduate statistics education. Here we demonstrate that one can present Bayes' Rule in the classroom through a hypothetical, yet realistic, legal scenario designed to spur the interests of students in introductory- and…
Descriptors: Bayesian Statistics, College Mathematics, Mathematics Instruction, Statistics
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Wood, Michael – Journal of Statistics Education, 2005
This article explores the uses of a simulation model (the two bucket story)--implemented by a stand-alone computer program, or an Excel workbook (both on the web)--that can be used for deriving bootstrap confidence intervals, and simulating various probability distributions. The strengths of the model are its generality, the fact that it provides…
Descriptors: Intervals, Computer Software, Robustness (Statistics), Probability
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Hong, Guanglei; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2008
The authors propose a strategy for studying the effects of time-varying instructional treatments on repeatedly observed student achievement. This approach responds to three challenges: (a) The yearly reallocation of students to classrooms and teachers creates a complex structure of dependence among responses; (b) a child's learning outcome under a…
Descriptors: Elementary School Mathematics, Grade 4, Probability, Teaching Methods