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Social Media as a Tool for AI-Powered Learning: Pedagogical Insights

EasyChair Preprint 13893

7 pagesDate: July 10, 2024

Abstract

Social media serves as a powerful tool for AI-powered learning, offering unique pedagogical insights into how technology can enhance educational experiences. By integrating AI algorithms with social media platforms, educators can personalize learning pathways, deliver targeted content, and adapt instructional strategies to individual student needs in real time. AI-driven analytics enable educators to assess student engagement, track progress, and identify areas for intervention, thereby optimizing learning outcomes. Moreover, social media fosters collaborative learning environments where students can engage in peer-to-peer interactions, share resources, and participate in global discussions, enhancing their digital literacy and critical thinking skills. As AI continues to evolve, its synergy with social media promises to revolutionize educational paradigms by making learning more interactive, accessible, and adaptive to the diverse needs of learners in today's digital age.

Keyphrases: AI-driven EdTech, Research methodologies, evaluation methods

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13893,
  author    = {Emir Hamza and Jane Elsa},
  title     = {Social Media as a Tool for AI-Powered Learning: Pedagogical Insights},
  howpublished = {EasyChair Preprint 13893},
  year      = {EasyChair, 2024}}
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