Higher education learning environments can have a diverse mix of student generations, and both advanced technology and nontraditional approaches can be used for homework, instruction and research. Consider the transformative effects on education that are possible when big data and analytics are
Can technology help stem the rise in college drop-out rates? Colleges and universities are leveraging advanced analytics to aggregate and analyze student data to identify at-risk students and intervene constructively with personalized assistance.
Viktor Mayer-Schönberger and Kenneth Cukier famously declared that "big data is a revolution that will transform how we live, work and think." Here are some of those revolutions from this week in the public sector.
There has always been a strong interaction between the academic side of higher education and the finance or “business” side of higher education. The academic side had lofty goals for establishing new degrees programs and new ways of recruiting students, while the finance side needed to balance out
Student attrition is a serious concern for colleges and universities around the world. Analytics and data can help higher education institutions manage attrition by helping to align all data to get a comprehensive view of each student, and then using analytics to determine who may be at risk. Once