Artificial Intelligence in Higher Education with Opportunities and Threats—Short Review

This paper explored how Individual personality traits influence student’s acceptance and response to the various digital learning systems. In addition it identified the benefit and potential risks of integrating AI system to personalized learning. AI systems in higher education can integrate personality factors to enhance student engagement and learning outcomes. Instructional approach based on personality traits can improve learning experiences by adapting AI tools. AI tools that recognize students difference for example in terms of pace, interaction style, and type of emotional support can hasten effective and creative learning environment. To strength participation within the academic community; the advantages of personality-driven adaptive learning must be carefully balanced with ethical and human-centered implementation. The misuse of these tools can lead to privacy violations, bias, or stereotyping. However implementing proactive ethical and pedagogical safeguards are crucial to reduce these potential risks. In addition, it is significant to ensure that such AI supports are not replaces human educators. Instead it complements human teaching by promoting self-regulation, well-being, and community belonging.