Exploration and Practice of Blended Teaching Reform in the Course of Internet Data Analysis and Application
Year: 2025
Type: article
Abstract: With the advent of the big data era, the course "Internet Data Analysis and Application" is crucial for cultivating data analysis talents to meet market demands. This paper focuses on the current teaching situation of this course, explores the necessity of carrying out blended teaching reform, and elaborates in detail on the design and implementation process of the blended teaching model based on the combination of online and offline teaching, including aspects such as the selection of teaching platforms, the reconstruction of teaching content, and the organization of teaching activities. Through the evaluation and analysis of teaching effectiveness, it verifies the positive achievements of the blended teaching reform in enhancing students' learning outcomes, cultivating their self-learning ability and practical data analysis ability. Meanwhile, it also points out the problems and improvement directions in the reform process, providing a reference for the teaching reform of similar courses.
Authors: Yanyan Li, Xiping Xu, Zhe Yang
Language: English
Topic: Online and Blended Learning
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4411322587
