With the convergence of job data, platform logs and curriculum resources, the course organization mode and teaching scheduling logic of e-commerce major are being refined and adjusted. Focusing on the collaborative reconstruction of course content and teaching methods in the school-enterprise joint scenario, this paper constructs an optimization framework consisting of post task mapping, curriculum unit reorganization, learning behavior collection and feedback decision-making, and designs a collaborative optimization algorithm for school-enterprise joint teaching methods, which unifies the coding and weight calculation of enterprise job requirements, curriculum knowledge points, classroom interaction records and training results. The experiment took three course modules of e-commerce operation, live broadcast marketing and data analysis as objects, and carried out verification on two groups of teaching samples of 120 students. In the evaluation process, the indexes such as topic matching rate, post coverage rate, method responsiveness and interaction depth are introduced for comprehensive evaluation. The results show that the optimization scheme improves the topic matching rate from 76.4% to 88.6%, the job coverage rate from 74.8% to 87.9%, and the platform interaction index is significantly positively correlated with the stage performance. Ablation results show that the task mapping, behavior feedback and joint update module jointly support the synergy effect and operation stability. This paper provides a reusable method basis for the computational reconstruction of e-commerce professional course content and the implementation of school-enterprise joint teaching.
Povzetek: Ta članek vzpostavlja sodelovalni okvir za e-trgovinske tečaje in učne metode v okviru sodelovanja med šolo in podjetjem ter z uporabo analize vedenja in izračuna uteži uresničuje reorganizacijo kurikularnih enot in prilagajanje učnih poti. Eksperimentalni rezultati kažejo, da se je stopnja ujemanja tem povečala s 76,4 % na 88,6 %, stopnja pokritosti delovnih nalog s 74,8 % na 87,9 %, interakcija na platformi pa je statistično značilno pozitivno povezana z dosežki po posameznih fazah.
