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Trabelsi, Ali Chedli; Bezzina, Smain – International Education Studies, 2016
The paper aims at elaborating a strategy regarding students' admission at the colleges of technology in the western region of Saudi Arabia. Purposely, the study surveys the opinion of the students attending the Jeddah College of Technology (J.C.T) and reports on seven socio-economic factors, specifically, the "J.C.T. evaluation system,"…
Descriptors: Higher Education, Technology Education, Case Studies, Foreign Countries
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Stewart, John; Miller, Mayo; Audo, Christine; Stewart, Gay – Physical Review Special Topics - Physics Education Research, 2012
This study examined the evolution of student responses to seven contextually different versions of two Force Concept Inventory questions in an introductory physics course at the University of Arkansas. The consistency in answering the closely related questions evolved little over the seven-question exam. A model for the state of student knowledge…
Descriptors: Physics, College Science, Scientific Concepts, Science Tests
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Noll, Jennifer; Shaughnessy, J. Michael – Journal for Research in Mathematics Education, 2012
Sampling tasks and sampling distributions provide a fertile realm for investigating students' conceptions of variability. A project-designed teaching episode on samples and sampling distributions was team-taught in 6 research classrooms (2 middle school and 4 high school) by the investigators and regular classroom mathematics teachers. Data…
Descriptors: Sampling, Mathematics Teachers, Middle Schools, High Schools
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Ely, Robert E.; Cohen, Jessica Strowbridge – Mathematics Teaching in the Middle School, 2010
It is important to use rich problem-solving tasks to develop students' understanding of important mathematical ideas (NCTM 2000). Rich tasks are complex, nonalgorithmic, and nonroutine, requiring reasoning, problem solving, and communication of thinking. Evidence has shown that using rich tasks in student-centered classrooms is especially…
Descriptors: Feedback (Response), Probability, Discussion (Teaching Technique), Problem Solving
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Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability