This article aims to study open education competency data through machine learning
models to determine whether models can be built on decision rules using the features from …

This article aims to study machine learning models to determine their performance in
classifying students by gender based on their perception of complex thinking competency …

This article aims to study machine learning models to determine their performance in
classifying students by gender based on their perception of complex thinking competency …

This study leverages bibliometric analysis through the bibliometrix R-package to dissect the
expansive influence of machine learning on education, a field where machine learning's …

In this digital world, technology is changing every second. For this reason, tech-based
educational departments should be aware of their strong and weak areas. By doing so, they …

Multimodal data analysis and validation based on streams from state-of-the-art sensor
technology such as eye-tracking or emotion recognition using the Facial Action Coding …

The current study aims to determine the programming performance (low and high) of the
students between the ages of 12–24 who receive programming education, by descriptive …

The majority of current research on the application of artificial intelligence (AI) and machine
learning (ML) in science, technology, engineering, and mathematics (STEM) education …

Predictive algorithms, also known as mathematical models, utilize historical data to
accurately predict future outcomes. These algorithms identify patterns and relationships …

The success of higher education institutions in the online learning environment can be
measured by the performance of students. Identifying backgrounds or factors that increase …