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Using data analytics to meet the needs of students
In this era of technology, organisations have been able to identify and maximise on new opportunities by using data as the fundamental tool.
Tue, 14 Aug 2018 11:57:19 GMT
Disclaimer: The following content is generated automatically by a GPT AI and may not be accurate. To verify the details, please watch the video
AI Generated Summary
- Data analytics plays a crucial role in addressing student retention challenges in higher education by analyzing engagement patterns and removing structural barriers.
- Predictive analytics can help universities identify at-risk students based on demographic factors and engagement metrics, enabling early intervention and support.
- Personalized interventions guided by data insights can improve retention rates and graduation outcomes for students facing economic hardships and academic struggles.
In the age of technology, data analytics has become a critical tool for organizations to uncover new opportunities and address social and economic challenges. One area where data analytics is making waves is in higher education in South Africa, particularly in tackling the issue of student retention. CNBC Africa recently spoke with Timothy Harfield, a Data Analytics Expert, about the role of data in helping students succeed in academic settings. Harfield highlighted the importance of taking a comprehensive approach to student retention, addressing both structural and personal barriers that students face. According to him, understanding how students engage with the learning environment is key to improving their chances of success. Data analytics can reveal patterns in student behavior, such as levels of engagement within digital platforms, which can then be used to enhance teaching practices and support student learning. By identifying and eliminating structural barriers within the education system, institutions can increase student retention rates and overall academic success. In addition to structural challenges, economic hardships also contribute to student attrition rates in South Africa. Harfield emphasized the potential of using predictive analytics to identify at-risk students based on demographic factors, engagement patterns, and academic performance. This proactive approach allows academic advisors to intervene early and provide necessary support to students facing financial or personal difficulties. By leveraging data analytics, universities can create personalized interventions that address the unique needs of each student, ultimately improving retention rates and graduation outcomes. Harfield's work extends beyond theoretical research, as he travels across the country to visit schools and collaborate with educators on enhancing the education system in South Africa. His dedication to improving student success through data-driven strategies underscores the transformative power of analytics in shaping the future of higher education. As South Africa continues to grapple with social and economic challenges, data analytics offers a pathway to create more inclusive and supportive learning environments for all students.