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Integrating Social Media and AI in Education: Pedagogical Methods and Research Techniques

EasyChair Preprint no. 13888

7 pagesDate: July 10, 2024

Abstract

Integrating social media and AI in education represents a cutting-edge approach that harnesses the power of both technologies to enhance learning experiences. This integration leverages AI algorithms to analyze social media interactions and behaviors, enabling personalized learning recommendations, adaptive content delivery, and real-time feedback. Pedagogical methods focus on creating collaborative learning environments where students can engage with peers and educators across diverse platforms, fostering knowledge-sharing and critical thinking skills. Research techniques in this field encompass qualitative and quantitative approaches, including data analytics, experimental studies, and surveys, to explore the impact of AI and social media integration on student engagement, academic performance, and overall learning outcomes. By merging these technologies, educators aim to cultivate more interactive, inclusive, and effective educational practices that prepare students for success in a digitally connected world.

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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13888,
  author = {Jane Elsa and John David},
  title = {Integrating Social Media and AI in Education: Pedagogical Methods and Research Techniques},
  howpublished = {EasyChair Preprint no. 13888},

  year = {EasyChair, 2024}}
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