Project-Driven Reform and Practice of the "Data Acquisition and Web Crawling" Course Teaching Mode

Abstract

With the deep integration of informatization and digitization, data has become a core strategic resource in modern society. Python crawling technology, as a key tool for data acquisition and processing, plays an important role in multiple industries. However, traditional course teaching modes suffer from issues such as a disconnection between theory and practice, insufficient practical opportunities for students, and a lack of team collaboration abilities, making it difficult to meet the demand for crawling technology talent in modern enterprises. To address this, this paper proposes a project-driven reform of the "Data Acquisition and Web Crawling" course teaching mode. By introducing real enterprise project cases, such as data crawling from e-commerce websites and public opinion analysis on social media, students can master technology application in real business scenarios, enhancing their practical and problem-solving abilities. In addition, through group collaboration, students can develop team collaboration and communication skills during project implementation. To further optimize teaching effectiveness, this paper also suggests establishing a diversified evaluation system that covers classroom performance, homework completion, project practice outcomes, and other aspects, to comprehensively reflect students' learning situations. At the same time, modern information technology is utilized to build an online learning and exchange platform, providing students with more learning resources and practical opportunities, and promoting interaction and cooperation among students.