This paper presents a method that instructors have designed and implemented to form
balanced teams based on Belbin's roles, with the aim of boosting positive interdependence …

With technological advancement, data is proliferating. Therefore, a need has been felt for
advanced analytic techniques, which can help in extracting useful information, patterns, and …

Random forests are a nonparametric machine learning method, which is currently gaining
popularity in the behavioral sciences. Despite random forests' potential advantages over …

Copper mining activity is going through big changes due to increasing technological
development in the area and the influence of industry 4.0. These changes, produced by …

Incorporating technologies to support the monitoring, evaluation, and feedback of soft skills
attracts great attention in the scientific community. For a team to have a good performance …

This study aimed to compare key predictors of academic resilience in the distinctive socio-
cultural contexts of South Korea and the United States, employing a machine-learning …

The formation of teams of students is a key aspect for the success of group activities in
learning environments. The purpose of this work is to design and implement TalSor, a …

A segment of studies on group structure and performance in software engineering (SE)
project-based learning (PjBL) have focused on roles, including studies that use Belbin team …

In the ever‐evolving landscape of 21st‐century education, this research seeks to understand
the challenges of on‐time graduation for students in two related computing majors. In …

Understanding the academic performance of students in colleges is an essential topic in
Education research field. Educators, program coordinators and professors are interested in …