Intelligent tutoring systems (ITS) acquire rich data about students’ behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. We describe applications of data mining to challenges related to finding patterns in student actions at the level of single problems to predictions across ses...

Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students identify at-risk early on. It answers some crucial intuitive questions are not addressed by previous studies. Most existing conducted on 2-3 years in an absolute grading scheme. We e...

due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...

Many educators have worried about the failures of students through academic education. Thus, a variety predictions been applied to general information including culture, social, and economic which wasn’t related student performance. We gathered an actual dataset from three years stages Mustansiriyah University in Iraq. The consists without any socioeconomic data, it includes forty-four undergra...

The Data Mining terminology is a proficient mechanism for the process of academic data intervention. The process of Mining in education sector data is called Educational Data Mining (EDM). EDM is pertained with formulating new methodologies to expose cognition from educational sector data and can utilized for making wise decision in the educational system. The existing software tools of data mi...