This research takes the BOPPPS model as the theoretical core and deeply integrates the SPOC online teaching system to innovatively reconstruct and adaptively expand the traditional teaching model. By leveraging cutting-edge technologies, an intelligent assessment system is established to achieve the intelligent upgrade of pre-instruction testing and in-class evaluation. This significantly reduces the assessment time and remarkably improves the timeliness and accuracy of data feedback. A hierarchical task decomposition strategy is implemented, with tasks designed in layers according to the difficulty of knowledge and students’ abilities. Combined with the real-time learning situation feedback mechanism, it stimulates students’ enthusiasm for participatory learning. Moreover, a multi-dimensional incentive framework is constructed to boost students’ motivation for autonomous learning. Through practical applications, the advantages of this model in enhancing teaching quality have been verified.