Partnering with AI to Design an Open Course on Goal Setting for Self-Regulated Learning: A Practice-Based Design Case

Abstract

This design case describes the creation of an open, self-paced microlearning course on academic goal setting developed within the Open Education for a Better World (OE4BW) mentoring program. The course targets diverse global learners, emphasizes accessibility, cultural responsiveness, and open licensing. I integrated GenAI throughout the process to accelerate content creation, create culturally situated personas, and produce multimedia elements. The learner-facing artefact consists of four structured modules, accessible via Canvas Learning Management System (LMS), and contains interactive H5P activities, scenario-based examples, downloadable planning templates, and narrated media. I organized the navigation by module and designed it to be mobile-friendly. Mayer’s multimedia principles, Universal Design for Learning (UDL), and microlearning strategies informed the layout and sequencing, while copyright and open licensing considerations shaped resource selection and adaptations. The case foregrounds key design decisions, including AI-human collaboration workflows, accessibility trade-offs, and cultural adaptation strategies. It also addresses tensions around copyright, authorship, and ensuring relevance for learners in under-resourced contexts. Reflecting on these decision points revealed what I learned about adopting GenAI responsibly within the open education design and development process.