Sentence examples for classification of student from inspiring English sources

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Berlan intends to bring the issue of classification of student "trunks" before the Department of Public Utilities within the next two months.

Thus, this article proposes a classification of student scientific activity in Higher Medical Education that may be considered as an effective tool for the harmonisation of the activities and processes that it covers, revitalises, and defines.

In this study it appears that the classification of student supersedes gender classification when assigning a discipline for academic dishonesty and that all students, male and female are judged based on the severity of the infraction regardless of gender.

Similar(57)

The Social Skills Improvement System-Rating Scales (SSIS-RS; Gresham & Elliott, 2008) are designed to assist in the screening and classification of students (aged 5 18 years) who are suspected of presenting with social skills deficits and to offer guidelines in the development of interventions to remediate those types of problems.

Specifically, the structure and classification of students' trees did not improve as a result of this laboratory session.

Evidence also supported the classification of students into three distinct identities: LGBT Leader, LGBT Activist, and Queer Activist.

It is important to bear in mind that due to measurement sampling error the classification of students into proficiency levels is inevitably deficient (Betebenner et al. 2008).

Pashler et al. (2008) also suggest that 'if classification of students' learning styles has practical utility [for pedagogy], it has yet to be demonstrated' (2008 117).

The findings from our study can be used to further enhance EER-Tutor in order to support learning better, including real-time classification of students into novices and advanced students in order to adapt system feedback and interventions.

Table 1 Classifications of student programs Classification type Condition required for classification Perfect sar s,j,k) = 1 && tar s,j,k) = 1 Excess sar s,j,k) = 1 && tar s,j,k) > = 0.7 Partial sar s,j,k) > = 0.75 && tar s,j,k) > = 0.7 No match otherwise.

Coupling lexical analysis with computer-determined classification functions of student responses opens the possibility for the critical evaluation of large numbers of constructed-response items, allowing application in large STEM classrooms.

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