Educational data mining is used to discover significant phenomena and resolve educational
issues occurring in the context of teaching and learning. This study provides a systematic …

The use of machine learning and data mining techniques across many disciplines has
exploded in recent years with the field of educational data mining growing significantly in the …

The time it takes a student to graduate with a university degree is mitigated by a variety of
factors such as their background, the academic performance at university, and their …

There is a national shift in the new Indonesian curriculum towards employing differentiated
learning approaches in addressing the diversity of students' needs and abilities. A teachers' …

Machine learning algorithms have recently been used to predict students' performance in an
introductory physics class. The prediction model classified students as those likely to receive …

Machine learning models were constructed to predict student performance in an introductory
mechanics class at a large land-grant university in the United States using data from 2061 …

Institutions of higher learning are characterized by multiple, often intersecting, social-
educational structures aimed at regulating the conditions by which a degree is ultimately …

Несколько десятилетий в области интеллектуального анализа данных в образовании
(EDM) прогнозирование успеваемости остаётся одной из самых популярных и …

Across the field of education research there has been an increased focus on the
development, critique, and evaluation of statistical methods and data usage due to recently …

This study examined physics major retention to degree at two institutions with substantially
different admissions selectivity. Two modes of leaving the physics major were examined …