Suggestions(1)
Exact(3)
Quantitatively, correlation relationship between teacher feedback and student activity performances was analyzed to find out the factors contributing students' difference in participating the mobile activities.
Internalizing emotional and behavioural problems were shown to be higher in the female group (difference of the group means 4.41) while externalizing emotional and behavioural problems slightly predominated in male students (difference of the group means -0.65).
Three retrospective items (administered only on the postunit survey) asking students to estimate their knowledge and skills "before" and "after" the unit, were computed as the students' difference scores.
Similar(57)
Moreover, as we expected, there should be differences among tools use in different topics and classes, and students' differences were analyzed and compared accordingly.
Although intelligent students are expected to perform better than less intelligent students, differences in general intelligence should not lead to qualitative differences in how single items are solved.
Table 1 Number of students, differences between unsupervised and supervised assessment items (percentage point), and unusual patterns (UP % of students) by academic area Unsupervised% − supervised% Academic area N Avg.
According to Kozulin (2003, p.17) the students differences before and after the presentation of mediation is the main concern of DA.
Table 2 Number of students, differences between unsupervised and supervised assessment items (percentage point), and unusual patterns (UP % of students) by unit within academic area Unsupervised% − supervised% Unit N Avg.
While no significant difference was found on total EQ-i scores between male and female students, differences were found in favour of females on some of the subscale scores.
Whereas the high response rate ensured that the views were reasonable representative of the students, differences in assessors could have influenced the interpretation of the results of open-ended responses.
(c) Exam material that was covered in both lab and lecture (Exam: Lab & Lecture), (d) the difference in exam performance on questions covered in both lab and lecture and questions unrelated-to-lab for each individual student (Difference).
Write better and faster with AI suggestions while staying true to your unique style.
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