To determine whether profiles of predictor variables provide incremental prediction of college student outcomes, the authors 1st applied an empirical clustering method to profiles based on the scores of 2,771 entering college students on a battery of biographical data and situational judgment measures, along with SAT and American College Test scores and high school grade point average, which re...

Objectives To determine the percentage of students involved in extracurricular activities (EAs), explore relationships between participation in EAs and students' characteristics, and investigate students' perceptions (i.e., motives and barriers) towards participation in EAs. Methods An online, anonymous, random, cross-sectional, self-rating survey was administered during spring 2015-2016 to s...

Background: The quality and quantity of sleep is strongly related to physiological physical health other measures wellbeing. Undergraduates are particularly susceptible increasing academic social demands that can cause quality.
 Aim: This study aims determine the prevalence distribution self-reported among undergraduates association between certain non-academic factors sleep.
 Materia...

This study aims to 1) develop Machine Learning Ecosystem models enhance grade point averages, and 2) predict averages by modeling techniques, namely, Decision Trees (DT), Naïve Bayes (NB), a Neural Network (NN). Findings from an efficiency comparison of the three in predicting showed that DT achieved highest accuracy 100.00%. In contrast, NN second-highest 85.83%, NB lowest 81.67%. For F-Measur...

In order to better understand the potential influence of high school students’ grades on how they rate their teachers and schools, we explored relationship between student grade point average ratings teacher effectiveness in 370 classes taught by 230 instructors with over 6,000 students 9–12 an Intermountain West district. Teachers were evaluated 18-item survey. Students also rated schools six ...

Background: The objective of this study was to assess the effect psychoactive substance use on academic performance among university students Lagos undergraduates.
 Methods: This is a descriptive cross-sectional and its relation undergraduate University Lagos. A multi-stage sampling technique used select participants. Data collected using self-administered semi-structured questionnaire ada...

Our purpose was to compare admissions criteria as predictors of dental school performance in underachieving and normally tracking dental students. Underachieving dental students were identified by selecting ten students with the lowest class grade point average following the first year of dental school from five classes, resulting in a pool of fifty students. Normally tracking students served a...