Predictive Analytics and Artificial Intelligence in Blended Learning: A New Dawn for Institutions of Higher Learning

This paper investigates how predictive analytics and artificial intelligence increased inclusivity in blended learning during and after a global pandemic. This study addresses the issue of inclusivity as it relates to the use of information and communication technologies for the success of blended learning in an institution of higher learning. The study’s objectives are to assess the impact of AI in blended learning, investigate the technological tools and techniques used for predictive learning analytics, and identify the role of behaviors and patterns in student success and their impact on blended learning. A literature search of scientific research papers in journals, conference proceedings, online journals, and reports was conducted for this study. According to the study’s findings, blended learning should be aligned with pedagogical practices and learner-centered methods rather than technology. The paper’s findings will benefit policymakers and educators in implementing blended learning during the pandemic and beyond. This study aims to add to the body of knowledge about the effectiveness of blended learning in the post-COVID 19 eras.