Faced with limited resources in teaching undergraduate artificial intelligence courses, this article explores innovative interactive project designs that range from fundamental algorithm implementation to low-resource applications of large language models (LLMs). These strategies aim to help second-year students master core AI concepts while developing problem-solving skills.
teaching design
Breaking Resource Barriers: Designing Efficient Interactive Projects for Undergraduate AI Courses
Facing resource-limited environments in undergraduate AI education, this article explores creative interactive projects to help students grasp core AI concepts, from algorithm basics to low-resource LLM applications.
