Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Masoud Bashiri, Kamran Kowsari

TL;DR
This paper examines how Large Language Models and AI tools are transforming student social media engagement by enhancing personalization, communication, and collaboration, leading to improved academic and social experiences.
Contribution
It provides an analysis of data from UniversityCube demonstrating the positive impact of AI tools on student engagement, learning, and community building in social media platforms.
Findings
Students report higher academic performance with AI tools.
AI enhances peer communication and mentorship.
Increased student satisfaction and retention due to AI-driven social media features.
Abstract
The advent of Large Language Models (LLMs) and Artificial Intelligence (AI) tools has revolutionized various facets of our lives, particularly in the realm of social media. For students, these advancements have unlocked unprecedented opportunities for learning, collaboration, and personal growth. AI-driven applications are transforming how students interact with social media, offering personalized content and recommendations, and enabling smarter, more efficient communication. Recent studies utilizing data from UniversityCube underscore the profound impact of AI tools on students' academic and social experiences. These studies reveal that students engaging with AI-enhanced social media platforms report higher academic performance, enhanced critical thinking skills, and increased engagement in collaborative projects. Moreover, AI tools assist in filtering out distracting content,…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · AI in Service Interactions · Online Learning and Analytics
