Designing AI-enhanced learning environments for adult learners

A design-based framework for solving complex interdisciplinary problems

Abstract

As online adult education rapidly expands, driven by technological advancements and post-pandemic demands, there is a critical need to reimagine evaluation and learning frameworks that address the limitations of traditional methods. This study proposes a novel Design-Based Research (DBR) framework to develop AI-enhanced learning environments tailored for solving complex, real-world problems. By integrating heutagogy, authentic learning, and transformative learning theory, the research aims to create a transferable model that empowers adult learners to navigate interdisciplinary challenges. Expected outcomes include a transferable design framework, ethical AI guidelines, and scalable principles for lifelong learning, addressing gaps in traditional evaluation methods while prioritizing learner-centric and context-sensitive innovation.