Mack C. Shelley

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—An integrated series of courses on embedded systems has been developed at Iowa State University, Ames, spanning early undergraduate to graduate levels. The newest course in the series is CPRE 488: Embedded Systems Design, an advanced undergraduate course that fills a gap in the curriculum by providing system-level design experiences and incorporating new(More)
As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of computer technology. Factor analysis revealed three dimensions of attitudes toward technology (desire for computer skills, information power, computer use) and two factors regarding(More)
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In our analysis of e-political participation among a 2003-random sample survey of 478 respondents drawn from Iowa, Pennsylvania and Colorado, six blocks of variables were entered: (1) socio-demographic (2) place effects, (3) voting, (4) technology use (VCR, cell phone, etc.) and computer apathy, (5) attitudes toward technology and (6) specific uses of the(More)
This paper reports preliminary first year results from an " itr "-funded National Science Foundation (NSF) grant enabling two central Iowa universities-Drake and Iowa State-to assess the efficacy of service-learning interventions in the dissemination of Information Technology Literacy (ITL) beyond the campus gates. It introduces service-learning, a pedagogy(More)
BACKGROUND Cognitive impairments in Parkinson disease (PD) manifest as deficits in speed of processing, working memory, and executive function and attention abilities. The gait impairment in PD is well documented to include reduced speed, shortened step lengths, and increased step-to-step variability. However, there is a paucity of research examining the(More)
This study explores the influence of health behaviors and individual attributes on adolescent overweight and obesity using data from Wave II (Add Health). Structural equation model/path analysis using maximum likelihood estimation was utilized to analyze the relationships of health behaviors and attributes with obesity. Results of the model reveal that the(More)
A central challenge for higher education today is to understand the diversity and complexity of non-traditional students' life experiences and how these factors influence their academic success. To better understand these issues, this study explored the role of demographic characteristics and employment variables in predicting the academic success of(More)