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Students in the embedded class also recorded this data on a classroom map in their workbooks.
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In the non-embedded class students recorded earthquake location on a map of California (bottom left) and in the embedded class they recorded RoomQuake locations on a map of the classroom (bottom right).
There was a main effect for embedding condition such that students in the Embedded Phenomenon condition learned more than students in the non-embedded condition, β = .91, t = 2.64, p < .02).02
Students in the embedded condition showed greater learning gains overall.
Students in the embedded condition did better on the methods items than students in the non-embedded condition, β = .87, t = 2.48, p < .02.02
The two points where students in the embedded and non-embedded conditions seemed to differ was in how authentic they felt their experience to be.
Analyses revealed that at pre-test, students in the embedded and non-embedded conditions were matched on their knowledge about the content of the unit.
Students in the Embedded Phenomena classroom with weaker spatial skills should show equal learning outcomes to students high in spatial skills.
The one behavior that changed disproportionately for black students relative to other students in the class was speaking in class.
They split students in the same class into three groups.
The data set included responses from 150 students in the majors class and 62 students in the nonmajors class.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com