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Direct linkTindal, Gerald; Nese, Joseph F. T.; Stevens, Joseph J. – Educational Assessment, 2017
For the past decade, the accountability model associated with No Child Left Behind (NCLB) emphasized proficiency on end of year tests; with Every Student Succeeds Act (ESSA) the emphasis on proficiency within statewide testing programs, though now integrated with other measures of student learning, nevertheless remains a primary metric for…
Descriptors: Testing Programs, Middle School Students, Models, State Standards
Gonczi, Amanda L.; Bergman, Brenda G.; Huntoon, Jackie; Allen, Robin; McIntyre, Barb; Turner, Sheri; Davis, Jen; Handler, Rob – Science Activities: Classroom Projects and Curriculum Ideas, 2017
Decision matrices are valuable engineering tools. They allow engineers to objectively examine solution options. Decision matrices can be incorporated in K-12 classrooms to support authentic engineering instruction. In this article we provide examples of how decision matrices have been incorporated into 6th and 7th grade classrooms as part of an…
Descriptors: Decision Making, Matrices, Teaching Methods, Middle School Students
Download full textCao, Zhongjun; Forgasz, Helen; Bishop, Alan – International Group for the Psychology of Mathematics Education, 2005
This paper explores levels of perceived parental influence on mathematics learning among over 700 students in China and Australia. Students in China had stronger perceived parental influences than students in Australia, and while students in China, Chinese speaking students in Australia, and other language speaking students in Australia…
Descriptors: Foreign Countries, Mathematics Education, Parent Influence, Mathematics Achievement
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
