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Real Data Is Messy... And Manageable, Beverly Wood, Carl Clark
Real Data Is Messy... And Manageable, Beverly Wood, Carl Clark
Publications
Using real data in an introductory statistics course is a delicate balance between reality and manageability. The internet is awash with data that is useful for students to answer questions of interest to them but it is not always formatted as neatly as textbook data. The ASA's recently endorsed GAISE College Report 2016 points to the plausibility of considering multivariable thinking even if only at a rudimentary level. With both messy and multivariable data in mind, we present some activities/projects and sources for data to give introductory students the opportunity to engage with real data.
Toys Redesigned: The Intersection Of Industrial Technology And Service-Learning Principles, Jill Stefaniak, Petros Katsioloudis, Basim Matrood
Toys Redesigned: The Intersection Of Industrial Technology And Service-Learning Principles, Jill Stefaniak, Petros Katsioloudis, Basim Matrood
STEMPS Faculty Publications
To provide students with a situated learning experience that encouraged them to develop creative design solutions, the authors created a service-learning activity that required industrial technology students to apply design principles and procedures to design and develop toys to be given to pediatric patients at a local children's hospital. The following are excerpts from student reflections addressing the technological skills used and key takeaways from the project: * "I was able to use my mechanical skills in this project by knowing how to operate the drill press and by cutting all the pieces that were needed and assembling them." * …