FLEX your MBA: Empowering learning efficiency in the digital classroom using an AI‐based application

Abstract

The rapid expansion of online MBA programs has improved flexibility and accessibility but continues to face challenges related to limited personalization, reduced interactivity, and summative feedback. To mitigate these issues, we introduce FLEX (Feedback‐Linked Education for Excellence), an AI‐powered educational platform designed to enhance learning efficiency through dynamic, iterative feedback and active engagement. Developed using R Shiny and integrated with OpenAI's API, FLEX provides a modular, user‐friendly scaffolding tool that supports reflective learning, active learning, personalized learning, and formative feedback. Utilizing the Apple Transportation Case, a logistics‐focused assignment, FLEX guided MBA students at a large US university through critical decision‐making tasks while offering tailored feedback. Results indicated significant improvements in reflective learning, active engagement, personalized learning and formative feedback. This article also discusses FLEX's potential applications across disciplines and its implications for the future of online education.