Performance prediction is an important research facet of educational data mining. Most
models extract student behavior features from campus card data for prediction. However …

The deferral of graduation rate in Taiwan's universities is estimated 16%, which will affect
the scheduling of school resources. Therefore, if we can expect to take notice of students' …

As students' behaviors are important factors that can reflect their learning styles and living
habits on campus, extracting useful features of them plays a helpful role in understanding …

Academic performance of college students is the main concern of educational institutions.
Effective and timely predicting performance is not only conducive to the school's Ministry to …

Predicting student performance is a crucial research area in educational data mining.
Student grades are influenced by various factors such as past academic performance, family …

Student performance prediction is one of the educational data mining tasks that has
received great deal of attentions. It enables the educators to improve the quality and …

Blended learning is increasingly used in college teaching, and formative evaluation has
become the main method for assessing student performance. Based on the formative …

Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Education is the key to success which provides multiple opportunities in the life. Education
not only contributes to individual success but also contributes to the success of the society …

With the development of university campus informatization, effective information mined from
fragmented data can greatly improve the management levels of universities and the quality …