| | 8 APRIL, 2026HIGHERReviewGannon University, located in the USA, uses data analytics to identify students at risk of dropping out. They implement this methodology even before students get admitted to the university, helping them improve student retention. Nowadays, higher education institutions are investing more in data analytics to track students at risk of dropping out, placing greater emphasis on first-generation and underprivileged students. The global market for big data analytics in education was valued at USD 13.58 billion in 2020 and is projected to reach USD 57.14 billion by 2030, with an impressive compound annual growth rate of 15.3%.Data analytics has become a major tool across several industries, including higher education. It is crucial that educational institutions should leverage the power of data to gain valuable insights into students' performance and take them forward.Personalized LearningIn this modern era, personalized learning has become the key, and many educational institutions have been following this to unleash the maximum potential of students. To comprehend the student's performance or to take them to the next level in education, institutions make use of data to get crucial insights into the students' behavioral patterns so that they can customize several learning paths to meet every student's requirements. Understanding them comprehensively and taking the customized steps will nurture a more effective and interactive experience, which will help the student community succeed in the future. Personalized learning plays a vital role in enabling students to make their own decisions about their learning for enhanced motivation and results.For instance, Arizona State University has adopted adaptive learning platforms such as Knewton and Smart Sparrow. These platforms utilize algorithms to personalize students' learning practices, considering their strengths, weaknesses and learning manners.Rick C. Levin, CEO, Coursera said that "Data analytics in online learning will create new pathways for people of all backgrounds to find a fulfilling career"Early Intervention and SupportAssessing the student's performance in terms of data analytics can help them know whether they are pursuing well in their academics or going through the risk of academic failure. More importantly, their unsatisfactory performance can be identified well in advance, and with the help of several signs such as attendance, grades, and participation, educational institutions can take the necessary steps to improve students' performance from the struggling stage. Institutions can offer assistance to students in the form of advanced tutoring from the base level and counseling if required so that the students are likely to succeed. Consequently, the institutions can enhance the retention rates of students, contributing to their maximum potential.IMPACT OF DATA ANALYTICS ON STUDENT SUCCESS IN HIGHER EDUCATIONFOCAL POINT
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