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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
Tetteh, Edem; McWilliams, Douglas – Simulation & Gaming, 2010
Customer needs for high-quality goods and the risk of product-liability litigation against businesses have made companies look for a way to sustain quality assurance in their products and services. Lean manufacturing is the latest and most successful system being used by companies to turn their business around. Visual inspection plays an important…
Descriptors: Quality Control, Inspection, Job Skills, Undergraduate Students
Newman, Amy – Business Communication Quarterly, 2007
As computer-mediated communication becomes increasingly prevalent in the workplace, students need to apply effective writing principles to today's technologies. Email, in particular, requires interns and new hires to manage incoming messages, use an appropriate tone, and craft clear, concise messages. In addition, with instant messaging (IM)…
Descriptors: Business Communication, Reaction Time, Computer Mediated Communication, Organizational Culture
Peer reviewedHunt, Earl; Lansman, Marcy – Psychological Review, 1986
A model of information processing has been developed that combines concepts from the study of attention and the study of problem solving. The model has been realized as a computer program and used to simulate a variety of phenomena from the attention and performance literature. (Author/LMO)
Descriptors: Attention, Cognitive Processes, Computer Simulation, Language Processing
Peer reviewedMeghabghab, George – Information Processing & Management, 2001
Discusses the evaluation of search engines and uses neural networks in stochastic simulation of the number of rejected Web pages per search query. Topics include the iterative radial basis functions (RBF) neural network; precision; response time; coverage; Boolean logic; regression models; crawling algorithms; and implications for search engine…
Descriptors: Algorithms, Computer Simulation, Evaluation Methods, Mathematical Formulas

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