AI-Driven EdTech: Exploring New Pedagogies and Research Methods

EasyChair Preprint no. 13890

Abstract

AI-driven EdTech is revolutionizing educational paradigms by introducing innovative pedagogies and research methodologies. This transformative approach integrates advanced AI algorithms into educational technology to personalize learning experiences, optimize curriculum design, and facilitate data-driven decision-making. By leveraging AI, educators can analyze vast amounts of student data to identify learning patterns, tailor instructional strategies, and predict academic outcomes with unprecedented accuracy. Additionally, AI-powered EdTech platforms enable immersive learning experiences through virtual simulations, adaptive learning modules, and personalized tutoring systems. These technologies not only enhance educational accessibility but also empower educators to adopt evidence-based practices and conduct cutting-edge research in educational psychology and learning sciences. As AI-driven EdTech continues to evolve, it promises to unlock new potentials for personalized learning and educational excellence in the digital age.

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

@Booklet{EasyChair:13890,
  author = {Jane Elsa and Zayn Clark},
  title = {AI-Driven EdTech: Exploring New Pedagogies and Research Methods},
  howpublished = {EasyChair Preprint no. 13890},

  year = {EasyChair, 2024}}