Impact of Artificial Intelligence (AI) in Addressing Students at-Risk Challenges in Higher Education (HE)

Abstract

Abstract Artificial Intelligence (AI) is revolutionizing higher education, offering transformative opportunities to innovate traditional teaching, learning and administrative practices. AI technologies, including machine learning, natural language processing and data analytics, are driving improvements in the educational experience for both students and educators. One key area where AI is making a significant impact is personalized learning. AI-powered systems analyse students' learning patterns and behaviours to customize educational content and delivery methods, enhancing engagement and learning outcomes by catering to individual needs. AI's potential in higher education extends to predicting student success through analytics, enabling institutions to identify students at risk of falling behind or dropping out. Early intervention allows for targeted support, improving retention rates and overall student success. Addressing student at-risk issues in higher education is crucial, requiring institutions to identify and assist students facing challenges that may hinder their academic progress. Institutions must provide support systems for early intervention, such as academic tutoring, counselling services and mentorship programs, fostering a supportive and inclusive learning environment. AI can play a significant role in addressing student at-risk issues by identifying patterns and indicators of students who may need additional support. By analyzing data, such as student performance, attendance and engagement, AI algorithms can flag at-risk students for targeted interventions.

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