This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …

Recently clustering analysis is used in education. The major uses of cluster analysis are to
discover patterns and segments within educational contexts. Several investigations are …

In cyber security education, hands-on training is a common type of exercise to help raise
awareness and competence, and improve students' cybersecurity skills. To be able to …

Researchers have observed the relationship between educational achievements and
students' demographic characteristics in physical classroom-based learning. In the context …

Over the past two decades, studying the various factors affecting student performance
became essential. Knowing these factors assist in enhancing student's performance …

Background Working and interacting with people from diverse backgrounds have become
common in Engineering. Research has indicated that engineering graduates face …

Effective student group formation is crucial in higher education to foster collaborative
learning environments. Grouping students by academic disciplines enhances peer-to-peer …

In education data mining (EDM) communities, machine learning has achieved remarkable
success in discovering patterns and structures to tackle educational challenges. Notably …

Unsupervised clustering of student responses to open-ended questions into behavioral and
cognitive profiles using pre-trained LLM embeddings is an emerging technique, but little is …

Background and purpose Intercultural and Global Health Issues was developed to address
learning outcomes in communication, ways of thinking, intercultural personal skills, and …