AI and Adaptive Learning: Research Methods for Modern Educational Pedagogy

EasyChair Preprint no. 13885

Abstract

AI and adaptive learning represent a significant advancement in modern educational pedagogy, utilizing sophisticated algorithms to personalize and enhance the learning experience. Research methods in this domain include experimental designs, longitudinal studies, and machine learning analytics to evaluate the effectiveness of AI-driven adaptive learning systems. These systems analyze individual student data to dynamically adjust content, pacing, and instructional strategies, thereby catering to diverse learning styles and needs. By focusing on real-time feedback and personalized learning pathways, researchers aim to identify best practices and optimize educational outcomes. This innovative approach not only seeks to improve student engagement and achievement but also to provide educators with actionable insights, enabling a more responsive and effective educational environment.

Keyphrases: Artificial Intelligence (AI), Education, pedagogical approaches

@Booklet{EasyChair:13885,
  author = {Jane Elsa and Jack Smith},
  title = {AI and Adaptive Learning: Research Methods for Modern Educational Pedagogy},
  howpublished = {EasyChair Preprint no. 13885},

  year = {EasyChair, 2024}}