Data mining student discipline records for improving behavior

Data mining techniques provides a personalized education to individual students based on the educational data.  For example, the discipline aspect of data mining can offer comprehensive analysis of student behavior, while the predictive analysis can help the school, college or university to take a positive approach to disciplining students, even before a student is involved in behavior issues. The early identification of student incidents at risk as well as maintain continuous intervention is the key to effective discipline management.
One of the biggest challenges that schools faces is to improve student discipline and behavior. Poor discipline is caused by willful defiance by a student, which results in suspension or expulsion. Positive student behavior is an indicator of effective discipline and behavior management of the school. Poor student behavior could reflect badly on the institution, and cause serious strains on teachers and parents.  In general, more number of student incidents means poor discipline climate in the school.

Applying data mining using the discipline and behavior management software can improve school discipline and student retention. Schools can identify the hot spots in behavior patterns using powerful reporting tools to proactively implement positive interventions on bad behavior and improve discipline in the institution.

Creatrix Campus provides a customizable behavior management system which can effectively address the challenges of each institution and helps them to make timely decisions regarding the students. Customization can be applied to locations, incident types, referrals, interventions, letters, etc. and help schools to make positive changes and measure success for disciplinary actions taken on student incidents over a period of time. Investing in discipline software to manage discipline can improve student behavior and reduce dropouts at your institution.