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Student classification has been addressed in previous research.
In terms of student classification, the result is quite different from prior studies.
Of interest is that research experiences do not appear to be influenced by student classification.
Regarding student classification, 54.97% are university and 45.03% are junior college.
The crosstab examination also revealed a strong correlations among student classification and the indicator P_R_ Want to Work in a Lab (refer to Table 7 for more details).
The performance of these classifiers will help us determine whether the cost of eye tracking is justified: features calculated from EER-Tutor may provide reasonably accurate student classification that is relatively inexpensive to collect.
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Nevertheless, certain aspects of Wirt's system were lasting and widely used for example, the use of testing for multiple student classifications (such as determining whether a student should be placed in a specific class) and the open shaping of curriculum by business concerns, as seen in vocational education programs.
Findings indicated that student classifications resembled classifications reported by other researchers for student-teacher relationships.
To assess the overall agreement (inter-rater reliability) for student classifications (i.e., ENS, aTNS, eTNS, or INS) we calculated a weighted kappa statistic, K, for the 83 students.
The Phylogenetic Collection Lab did not have a significant impact on students' classification mistakes.
Despite significant emphasis on phylogeny and classification throughout the course, students' classification of organisms in the No Lab and Lab groups did not improve over the semester.
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