Higher education institutions (HEIs) in both developed and developing countries are
confronted with increasing pressure to enhance their effectiveness and efficiency while …

The primary goal of the proposed study is to measure a student's Emotional Quotient (EQ)
for job placement and to correlate the EQ with the ability of the student to survive in the …

Featured Application This study is part of an ongoing research project titled “Smart
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …

The exponential growth of data in the field of education has created a pressing demand for a
robust system capable of analyzing this vast amount of information, empowering decision …

Integrating artificial intelligence (AI) stands out as the most dynamic and innovative
breakthrough in introducing disruptive paths in the varied domains of education. This …

The process of categorizing students' performance based on input data, encompassing
demographic information and final exam results, is recognized as student performance …

To prevent students from learning risks and improve teachers' teaching quality, it is of great
significance to provide accurate early warning of learning performance to students by …

The problem of data classification or data fitting is widely applicable in a multitude of
scientific areas, and for this reason, a number of machine learning models have been …

The main goal of governments is to guarantee that every individual worldwide, regardless of
disability, have access to education. However, learners with disabilities exhibit higher rates …

The classification of student performance involves categorizing students' performance using
input data such as demographic information and examination results. However, our study …