Smart Learning Hub- Personalized Learning for All
The large, lecture-based courses that characterize early STEM coursework often fail to meet the needs of learners. The general intelligence and multimodal interactive capabilities of large language models offer unprecedented opportunities for providing individualized instruction through customizable, AI-based tutors which have the potential to reduce the barriers faced by students and significantly improve learning outcomes. Leveraging SmartLearning Hub, a system being developed at UC San Diego that enables instructors to generate AI-based tutors based on a specification of content, learning activities and engagements, we plan to create AI tutors for 8 different courses for students (AI Literacy, Biology, and Computer Programming) and a workshop in AI Literacy aimed at instructors. These AI tutors will offer rich, interactive and personalized learning experiences to students. The proposed project has two goals:
- Engage instructors across all segments of the California public higher education system to create course-specific tutors. This project will create an ecosystem of open-source tutors and demonstrate that other instructors can customize the open-source tutors to meet their course specific needs.
- Rigorously assess the effectiveness of the tutors in various disciplines and levels to elucidate the conditions under which AI-enabled tutors are effective for enhancing learning and mitigating disparities.
