Emerging AI Technologies in Education: Pedagogical Frameworks and Research Methods

EasyChair Preprint no. 13877

Abstract

Emerging AI technologies in education are paving the way for innovative pedagogical frameworks and advanced research methods aimed at enhancing the learning experience. These technologies include intelligent tutoring systems, adaptive learning platforms, and AI-driven analytics tools that provide personalized learning pathways and real-time feedback. Pedagogical frameworks are evolving to integrate these AI capabilities, emphasizing personalized, student-centered learning approaches that cater to individual needs and learning styles. Research methods in this field encompass a variety of approaches, including experimental studies, longitudinal research, and big data analytics, to assess the efficacy and impact of AI interventions on educational outcomes. By investigating the potential of AI to transform traditional education models, researchers and educators are working towards creating more dynamic, engaging, and effective learning environments.

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

@Booklet{EasyChair:13877,
  author = {James Henry and Ryan Tylor},
  title = {Emerging AI Technologies in Education: Pedagogical Frameworks and Research Methods},
  howpublished = {EasyChair Preprint no. 13877},

  year = {EasyChair, 2024}}