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The data for the student debt was obtained from the US Department of Education database (IPEDS), where the data is available as the average amount of loan aid received by the typical borrower for that year.
In addition, the response rate for year 2 students was lower than anticipated, and in the analysis there were some missing data for the student characteristics variables.
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Finally, a questionnaire was distributed to collect data for the students' reflections on C-DA.
Data from the student evaluations for the previous two years were also collected as the three data sets contained 24 items that were continuous over the six years.
The improvement using the 110-h subset is modest but when the amount of untranscribed data for training the student DNN is increased to 300 h, soft target training is more effective and the WER is reduced by 7.5 and 9.6%% relative.
They drew upon the final results data for these students and the other half of the clinical school cohort, which was not included in the pilot project, to form a comparative view of students' academic performance.
The complete 3D-PAT data set for the student study contained 28 and 66 successful validity and reliability trials, respectively.
For students' individual narratives, interview transcripts were used as one set of data; for the new student group, this was supplemented by sections in observations where they had told personal stories.
Cases were created for their system using real examinations notes, history notes, test results, and X-rays by expert clinicians, who also provided feedback and meta-data for the students who use the system.
Looking at the data for the whole student population, we observed a trend whereby three clusters of scores became apparent.
Demographic data for the enrolled students are shown in Table 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com