Against the backdrop of artificial intelligence reshaping the educational ecosystem

general education in private colleges and universities faces the "triple predicaments": the disconnection between knowledge transmission and industrial needs

the separation of theoretical teaching from practical application

and the gap between human-machine interaction and thinking empowerment. Guided by the Outline for Building a Powerful Education Nation (2024-2035)

this study constructs a "POT-OBE+6E" human-machine collaboration theoretical framework. By integrating the Problem-Oriented Cognition Model (POT-OBE) with the 6E teaching paradigm (Engaging

Excitation

Exploration

Enhancement

Execution

Evaluation)

it breaks through the limitations of the "knowledge logic" in traditional general education. In response to the resource constraints of private colleges

a "broad-specialized-innovative" three-level progressive curriculum system is proposed: at the broad level

a problem-driven path supported by an AI low-code platform is constructed; at the specialized level

progressive project training supported by lightweight tools is developed; at the innovative level

an interdisciplinary collaborative platform is built. Meanwhile

a dual-track mapping model of "human cognitive ability layer" and "AI collaborative ability layer" is established

forming a hierarchical training mechanism that realizes the leap from tool operation literacy to cognitive qualitative change. The research results provide a trinity path of "theoretical framework-curriculum system-ability training" for private colleges to cultivate innovative thinking

and contribute a promotable practical paradigm to the digital transformation of education.