Analyzing how Social Media Platforms, Driven by AI, can serve as Spaces for Teachers' Professional Development by Facilitating Networking, Knowledge Sharing, and Real-time Collaboration

This study assesses the impact of AI-facilitated social media on teachers' professional development in relation to networking, knowledge-sharing, and instant collaboration. Given that AI is increasingly incorporated into learning spaces, more often than not, the traditional means of PD have some of these disadvantages, including the lack of time, place, and the lack of room to collaborate with other teachers. The use of AI-based platforms like LinkedIn, Twitter, Edmodo, and Google Classroom supports personalized learning and connects teachers all over the world. This study was a quantitative design to gather information on the multivariate sample of teachers using these platforms in order to advance their professional development. Responses on usage patterns, perceived benefits, and effectiveness of AI were gathered from structured questionnaires. To interpret these, descriptive statistics, correlation analyses, and regression analyses were applied in the evaluation of data. Findings were concluded whereby AI-driven platforms greatly enable improvement in networking opportunities, support more efficient knowledge sharing than classical PD environments, and can contribute to developing real-time collaboration. In other words, what an AI might provide in terms of learning support brings with it opportunities with which teachers might have rich, accessible, and also personalized learning experiences. This requires further research into the particular features of AI that support PD and for educators, working with developers of platforms, to optimize AI for the enhancement of teacher effectiveness. These findings add to a growing literature on the role that AI plays in education through actionable insights for possible integration into education programs for teachers in the future.