Frontiers in Educational Research, 2024, 7(10); doi: 10.25236/FER.2024.071027.
Xin Yang1, Wanqing Wei2
1School of Public Policy and Management, Guangxi University, Nanning, China
2Institute of Scientific Research, Guangxi University, Nanning, China
With the penetration of "Internet+" into the education field, students' learning environment has evolved from a multimedia environment to a digital learning environment, with learning time and space continuously expanding and developing. Based on the educational concept of "Internet+ Curriculum Ideological and Political Education" and leveraging the empowering role of internet platforms, a multi-dimensional teaching model of "theory-practice-value" has been constructed in accordance with the training objectives of the "Quantitative Analysis for Management" course. This model follows the mechanism path of "mastering management quantitative theory—developing quantitative data skills—realizing curriculum ideological and political value". The model integrates curriculum ideological and political education into theoretical teaching and social practice. Through organizational empowerment, structural empowerment, and field empowerment, it cultivates students' abilities to analyze data and build models. This approach facilitates students' transformation from acquiring management knowledge to developing management skills, and ultimately to attaining comprehensive management capabilities. This innovative teaching model holds significant implications not only for the development of public administration as a discipline in the Chinese context but also for enhancing the quality of education for public administration majors.
Internet+ Curriculum Ideological and Political Education; Multi-dimensional Teaching Model; Teaching Model Reform; Quantitative Analysis for Management
Xin Yang, Wanqing Wei. Multi-dimensional Teaching Model Reform: A Case Study of Quantitative Analysis in Management Courses under 'Internet+' and Curriculum Ideological and Political Education. Frontiers in Educational Research (2024) Vol. 7, Issue 10: 169-175. https://doi.org/10.25236/FER.2024.071027.
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