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Chang, Chih-Kai – Journal of Educational Computing Research, 2014
Scratch, a visual programming language, was used in many studies in computer science education. Most of them reported positive results by integrating Scratch into K-12 computer courses. However, the object-oriented concept, one of the important computational thinking skills, is not represented well in Scratch. Alice, another visual programming…
Descriptors: Foreign Countries, College Freshmen, Information Technology, Computer Science Education
Mingo, Wendye Dianne – ProQuest LLC, 2013
This study attempts to determine if authentic learning strategies can be used to acquire knowledge of and increase motivation for computational thinking. Over 600 students enrolled in a computer literacy course participated in this study which involved completing a pretest, posttest and motivation survey. The students were divided into an…
Descriptors: Learning Strategies, Computation, Thinking Skills, Computer Literacy
Fuchs, Lynn S.; Schumacher, Robin F.; Long, Jessica; Namkung, Jessica; Hamlett, Carol L.; Cirino, Paul T.; Siegler, Robert; Changas, Paul – Grantee Submission, 2013
The purposes of this study were to investigate the effects of an intervention designed to improve at-risk 4th graders' understanding of fractions and to examine the processes by which effects occurred. The intervention focused more on the measurement interpretation of fractions; the control condition focused more on the part-whole interpretation…
Descriptors: At Risk Students, Elementary School Students, Grade 4, Elementary School Mathematics
Nietfeld, John L.; Enders, Craig K; Schraw, Gregory – Educational and Psychological Measurement, 2006
Researchers studying monitoring accuracy currently use two different indexes to estimate accuracy: relative accuracy and absolute accuracy. The authors compared the distributional properties of two measures of monitoring accuracy using Monte Carlo procedures that fit within these categories. They manipulated the accuracy of judgments (i.e., chance…
Descriptors: Monte Carlo Methods, Test Items, Computation, Metacognition

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