ISCAP Proceedings: Abstract Presentation
Designing an AI-powered Personalization Engine for Business Courses
John Drake
East Carolina University
Abstract
Many college courses today are largely one-size-fits-all, despite diverse student experiences and goals. Newer technologies, however, offer the potential to change that paradigm. With AI powered technology, personalization of curriculum could transform education by dynamically filling gaps in student knowledge while simultaneously boosting motivation by tweaking the curriculum to their interests. The purpose of this study is to design, build, and measure the effectiveness of such a system that 1) captures a student’s knowledge and goals, 2) personalizes course learning paths, assignments, and resources based on the student’s knowledge and goals and 3) supports the student with an AI tutor as they navigate through that personalized curriculum. Using Design Science Methodology, the artifact will undergo multiple iterations, refining its architecture and implementation to enhance student outcomes. Measures for self-regulation, self-efficacy, and self-motivation will be paired with instructor assessments to determine if the new system effectively helps students achieve the learning outcomes. The artifact will be tested in multiple courses within a college of business at a large regional university. Findings can help improve faculty approach to course development and may improve student interest and motivation within courses.