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Vieira, Camilo; Magana, Alejandra J.; Roy, Anindya; Falk, Michael L. – Cognition and Instruction, 2019
Creating explanations is an important process for students, not only to make connections between novel information and background knowledge, but also to be able to communicate their understanding of any given topic. This article explores students' explanations in the context of computational science and engineering, an important interdisciplinary…
Descriptors: Student Attitudes, Comprehension, Computation, Programming
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Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
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Yoder, S. Elizabeth; Kurz, M. Elizabeth – Journal of Education for Business, 2015
Linear programming (LP) is taught in different departments across college campuses with engineering and management curricula. Modeling an LP problem is taught in every linear programming class. As faculty teaching in Engineering and Management departments, the depth to which teachers should expect students to master this particular type of…
Descriptors: Programming, Educational Practices, Engineering, Engineering Education
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Vodounon, Maurice A. – Journal of Computers in Mathematics and Science Teaching, 2006
The primary purpose of the study was to determine if a treatment that concentrates on building programs from previously written modules can improve the decomposition processes of novice programmers in the C++ programming language and, hence, programming performance. For purposes of performance analysis, a subsample of 23 students was divided into…
Descriptors: Programming, Programming Languages, Performance Based Assessment, College Students
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction