Exact(7)
In RD analyses, student achievement is regressed on students' age and grade.
Using natural language understanding techniques, Guru analyses student utterances (e.g. typed answers, summaries, responses to cloze exercises, completion of concept maps) to obtain data for the learner model and then provides appropriate instruction and formative feedback.
Statistical analyses (Student t-tests) were performed using SPSS 17.0 (Chicago, IL, USA).
We first conducted univariate analyses (Student -test, Wilcoxon-Mann Whitney or Chi-squared tests as appropriate) to analyze factors determined a priori to be potentially important.
For univariate analyses, Student t test, Wilcoxon rank sum test, Fisher exact test, Pearson χ test, and simple logistic regression were used where appropriate.
In our analyses, student identification was entered as the random effect to avoid pseudoreplication (as one student could be represented up to seven times if he or she completed all seven activities).
Similar(53)
The present study analyses students' engagement.
This paper assesses the performance of students studying Agricultural engineering and analyses students by age and school shifts.
Using these analyses, students make recommendations concerning the firm's pricing policy, its globalization efforts, and a partnership with a related company.
In multivariate analyses, students' test result expectation was the only significant predictor of interest in testing.
In other words, these four designs excluded from the analyses students who had not responded to the questions, which meant that information relating to them was absent from the conditioning.
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