Treffer: Computational Modeling and Simulation of Heat Transfer in Nano-PCM-Based Thermal Energy Storage Systems

The integration of artificial intelligence (AI) into social media-based learning environments has revolutionized the way learners engage with content and interact with peers. This book chapter explores the transformative potential of AI-driven personalization, emphasizing the symbiotic relationship between algorithmic intelligence and social pedagogy. It provides a comprehensive examination of how adaptive learning algorithms dynamically curate content to enhance learner engagement, foster autonomy, and optimize knowledge retention. the chapter delves into the intricate balance between learner autonomy and algorithmic nudging, exploring how AI can support rather than constrain the learner's agency. The importance of ethical, privacy, and governance considerations in the deployment of AI technologies is also addressed, with a focus on ensuring transparency, fairness, and inclusivity within informal learning contexts. Through a critical review of existing frameworks and evaluation metrics, the chapter proposes a holistic model for AI-powered social learning that prioritizes learner experience, equitable access, and long-term sustainability. This research highlights the need for adaptive governance structures and emphasizes the importance of a learner-centered approach to AI integration in educational technology.