Construction and Implementation of a Data-Driven Blended Learning Model
DOI: https://doi.org/10.62381/ACS.MEHA2024.17
Author(s)
Yi Zhao
Affiliation(s)
Shanxi Vocational University of Engineering Science and Technology, Jinzhong, Shanxi, China
Abstract
This study focuses on the reform needs of the current online and offline blended teaching mode, and takes the blended teaching of the "Java Language Programming" course as the specific research object. With the help of information technology teaching platforms and intelligent teaching tools, a blended teaching mode based on educational big data is constructed. This model is based on the multidimensional information of curriculum teaching, through the collaborative promotion of curriculum knowledge mapping and teaching data analysis, the development of teaching strategies, the design of teaching paths, the implementation of teaching monitoring and intervention and other teaching measures, to help learners build a learning atmosphere of autonomous learning and cooperative exploration, and effectively complete the knowledge construction. The implementation of teaching models has a certain positive effect on improving the effectiveness of blended teaching, and can provide reference and reference for existing blended teaching designs.
Keywords
Education Big Data; Blended Learning; Teaching Model; Knowledge Map
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