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Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
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Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Donoghue, John R. – ETS Research Report Series, 2015
At the heart of van der Linden's approach to automated test assembly (ATA) is a linear programming/integer programming (LP/IP) problem. A variety of IP solvers are available, ranging in cost from free to hundreds of thousands of dollars. In this paper, I compare several approaches to solving the underlying IP problem. These approaches range from…
Descriptors: Automation, Test Construction, Comparative Analysis, Programming
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Griffiths, Lee Scott; Ogden, Rick; Aspin, Rob – Research in Learning Technology, 2012
HTML 5 is the most significant update of HTML in the last 10 years since XHTML was introduced. It promises a vastly improved user experience, increased browser features, cross compatibility and the ability to provide semantic content. In this paper we discuss the near future position for Higher Education in terms of technological transform, the…
Descriptors: Internet, Web Browsers, Programming Languages, Hypermedia
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Kortsarts, Yana; Morris, Robert W.; Utell, Janine M. – Information Systems Education Journal, 2010
Bioinformatics is a relatively new interdisciplinary field that integrates computer science, mathematics, biology, and information technology to manage, analyze, and understand biological, biochemical and biophysical information. We present our experience in teaching an interdisciplinary course, Introduction to Bioinformatics, which was developed…
Descriptors: Interdisciplinary Approach, Introductory Courses, Biology, Information Science