Integrating AI in Education: New Pedagogical Approaches and Research Methods

EasyChair Preprint no. 13864

Abstract

Integrating artificial intelligence (AI) into education represents a transformative shift in pedagogical approaches and research methods. AI's advent promises to revolutionize how knowledge is imparted and assessed, fostering personalized learning experiences tailored to individual student needs. By analyzing vast datasets, AI can identify learning patterns, offer adaptive feedback, and suggest personalized learning paths, thereby enhancing educational outcomes. Moreover, AI facilitates the creation of immersive learning environments through virtual simulations and augmented reality, engaging students in interactive, experiential learning. Research methodologies are also evolving, leveraging AI-driven analytics to explore new insights into educational effectiveness and student behavior. As AI continues to evolve, its integration into education holds the potential to democratize access to quality education globally, bridging gaps and fostering inclusive learning environments for all learners.

Keyphrases: Artificial Intelligence, Education, pedagogical approaches

@Booklet{EasyChair:13864,
  author = {James Henry and Myles Jace},
  title = {Integrating AI in Education: New Pedagogical Approaches and Research Methods},
  howpublished = {EasyChair Preprint no. 13864},

  year = {EasyChair, 2024}}