AI in Online Education: Pedagogical Models and Research Methodologies

EasyChair Preprint no. 13873

Abstract

AI in online education encompasses a diverse array of pedagogical models and research methodologies aimed at enhancing learning experiences through advanced technological integration. These models often leverage AI to personalize learning paths, adapt content delivery based on student progress, and provide real-time feedback. Research methodologies in this field explore the efficacy of AI-driven interventions, examining factors such as engagement levels, learning outcomes, and student satisfaction. By combining AI with online education, educators can create dynamic, interactive environments that cater to individual learning styles and foster collaborative learning communities, thereby pushing the boundaries of traditional educational paradigms.

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

@Booklet{EasyChair:13873,
  author = {James Henry and Burak Ali},
  title = {AI in Online Education: Pedagogical Models and Research Methodologies},
  howpublished = {EasyChair Preprint no. 13873},

  year = {EasyChair, 2024}}