Region - Educational Research and Reviews

Current general education Artificial Intelligence (AI) courses in universities for non-computer science majors are commonly trapped in the misguided positioning of being a "simplified version of computer science major courses," focusing on Python programming and machine learning algorithm principles. This leads to a severe disconnect between teaching content and students' actual needs [4] . This study proposes a paradigm shift from "transmitting technical principles" to "cultivating AI user literacy." The core lies in constructing an "AI User Literacy" framework and designing a "Three-Tier Application-Oriented" curriculum model, including: a Cognitive Foundation Tier (20% of class hours) using metaphors to establish necessary concepts; a Tool Application Tier (50% of class hours) using workshops to master mainstream AI tool usage; and an Intelligent Reflection Tier (30% of class hours) using case debates to foster critical thinking. Teaching implementation adheres to the "no-code" principle, driven by a scenario library and "Smart Toolkit" projects. The assessment system focuses on abilities in tool selection, application process, and ethical reflection. This study provides a systematic solution for addressing the "disconnect between learning and application" dilemma in AI general education[2].