A three-stage machine learning and inference approach for educational data
With the collection of student-level characteristics, there exists a range of machine learning algorithms that could make decent predictions based...
With the collection of student-level characteristics, there exists a range of machine learning algorithms that could make decent predictions based...
New LMS feature uses spaced repetition to address training drop-off and improve learning ROIRise Up, an AI learning technology provide...
Data descriptionWe utilized the mPower public research portal, which contains measurements from over 6,000 participants—both healthy and those affected by...
In this study, we explored the relationship between students’ learning preferences, as assessed by the GRLSS, and their information acquisition...
Physicochemical parameters analysisThe results of the statistical analysis of the physicochemical parameters are shown in Table 1. The water distribution...
A new study targets feature selection, a key step in machine learning where the algorithm determines which parts of the...