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Articles 1 - 4 of 4
Full-Text Articles in Mechanical Engineering
Collapse Of Pre-Covid-19 Differences In Performance In Online Vs. In-Person College Science Classes, And Continued Decline In Student Learning, Gregg R. Davidson, Hong Xiao, Kristin Davidson
Collapse Of Pre-Covid-19 Differences In Performance In Online Vs. In-Person College Science Classes, And Continued Decline In Student Learning, Gregg R. Davidson, Hong Xiao, Kristin Davidson
Faculty and Student Publications
Abstract: Studies comparing student outcomes for online vs. in-person classes have reported mixed results, though with a majority finding that lower-performing students, on average, fare worse in online classes, attributed to the lack of built-in structure provided by in-person instruction. The online/in-person outcome disparity was normative for non-major geology classes at the University of Mississippi prior to COVID-19, but the difference disappeared in the years after 2020. Previously distinct trendlines of GPA-based predictions of earned-grade for online and in-person classes merged. Of particular concern, outcomes for in-person classes declined to match pre-COVID-19 online expectations, with lower-GPA students disproportionally impacted. Objective …
Education And Training Networks, Ken Thomas, Robin Stubbs, Emily Shakespeare
Education And Training Networks, Ken Thomas, Robin Stubbs, Emily Shakespeare
Tools
Education And Training Networks Inventory is a review of relevant network in Ireland and the EU.
Rheology Of Particulate Suspensions With Non-Newtonian Fluids In Capillaries, Bin Xia, Paul Krueger
Rheology Of Particulate Suspensions With Non-Newtonian Fluids In Capillaries, Bin Xia, Paul Krueger
Mechanical Engineering Research
This resource contains the processed experimental measurements of the flow consistency index and flow behavior index, along with their trendlines, for the particulate suspensions investigated in "Rheology of Particulate Suspensions with Non-Newtonian Fluids in Capillaries" by Bin Xia and Paul S. Krueger.
3.8 Mm Thick Aluminum 5754-O Friction Stir Weld Data, Johnathon Hunt, Yuri Hovanski, Brian A. Mazzeo, Carl Sorensen
3.8 Mm Thick Aluminum 5754-O Friction Stir Weld Data, Johnathon Hunt, Yuri Hovanski, Brian A. Mazzeo, Carl Sorensen
ScholarsArchive Data
The data sets that are included are the following:
1) Raw measured data for 30 friction stir welds made from 5754-O aluminum alloy. (matlab .m file)
2) Radiographic images of the same welds.
(.tiff images)
3) Cross sectional images at certain location from some of the welds
(.jpeg)
4) An excel spread sheet that has a key to the data