Under the dual background of "Art-Science Integration" and the construction of "New Liberal Arts

" computer basic education in art colleges faces unprecedented opportunities for transformation and challenges. As a core bridge connecting artistic creativity with digital technology

the traditional teaching mode of Python is often limited by the thinking characteristics of art students

suffering from pain points such as high entry thresholds

weak learning motivation

and a disconnect between technology and application. The explosive development of Generative Artificial Intelligence (GenAI) provides new technical levers and cognitive tools to solve these problems. This paper deeply analyzes the current status of programming education in art colleges at home and abroad

pointing out core issues such as "code fear

" "lack of context

" and "singular evaluation." On this basis

it constructs a new "Human-AI Collaboration" teaching paradigm driven by GenAI and proposes systematic reform countermeasures ranging from curriculum content reorganization

teaching mode innovation

and evaluation system reshaping to ethical literacy cultivation. Research indicates that deeply integrating GenAI into Python teaching can not only significantly reduce the cognitive load of programming but also stimulate the creative potential of art students

promoting a fundamental leap in art education from "skill transmission" to "thinking empowerment."