Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

随着复杂系统测试, 试验和状态监测产生的数据呈级数增长, 大数据逐渐成为各种工业领域的
研究热点. 为此, 从大数据定义, 产生, 特性的角度阐述大数据的内涵, 重点强调大数据产生三要素 …

The concept of openness and information sharing (linking) together with increasing amounts
of data available significantly affect the current educational system. Institutions as well as …

The growing popularity of Social Networking Sites (SNS) that are embedded with networked
infrastructures serves as an ideal platform for developing a networked learning environment …

As an important part of data mining, educational data mining (EDM) has played a significant
role in the field of education. This article reviews the development process of EDM …

The use of data mining techniques to answer important educational questions is done with
educational data mining that may be related to predicting students' performance or …

School participation rate is a measurement of the absorptive capacity of educational
institutions towards school-age population. School participation rate is a basic indicator …

Big Data is becoming an integral part of education system worldwide, bringing in so much of
prediction potential and therefore opportunities to improve learning and teaching …

Prognosticating students' output remains a critical commotion for the sustainability of the
global education segment. But, due to the vast volumes of data within educational …