Exploration of the Precise Teaching Path of Theory Courses in Colleges and Universities Empowered by Big Data

DOI: https://doi.org/10.62517/jhve.202416514

Author(s)

Wang Linlin1, Guo Siyuan2,*

Affiliation(s)

1Wang Linlin Yancheng Kindergarten Teachers College, Yancheng, China 2Guo Siyua, Hainan Vocational University of Science and Technology, Haikou, China *Corresponding Author.

Abstract

With the development of big data technology, the teaching mode of theoretical courses in colleges and universities needs to be changed urgently. This study first systematically explains the relevant concepts of big data and precision teaching, and clarifies the basic framework and value of data analysis and application in the field of education. Subsequently, through an in-depth analysis of the teaching status quo of the existing theory courses in universities, it points out the problems that exist in the current teaching process, including the uneven distribution of teaching resources and the unrefined assessment of learning effects. Based on the above findings, this paper proposes a diversified strategy for big data-enabled accurate teaching of theory courses in colleges and universities, focusing on the collection and analysis methods of learning behaviour data and learning effect assessment to optimize the teaching process from a data-driven perspective. Through case studies, specific strategies and effects in practical application are demonstrated, emphasising how the precise setting of teaching objectives and rational allocation of teaching resources can enhance the quality of courses and students' learning experience. Practical suggestions for improvement are made to address the challenges encountered in the implementation process, such as user privacy and data security, and insufficient teacher skill requirements. The study shows that through the systematic application of big data, university theory courses can achieve more precise teaching objectives and personalised learning experiences, thus promoting educational equity and teaching quality.

Keywords

Big Data; Precision Teaching; Theoretical Courses in Higher Education; Learning Behaviour Analysis; Personalised Learning; Educational Resource Allocation

References

[1] Wang Chao, Gu Xiaoqing, Zheng Longwei. Multimodal data-enabled precision teaching and research: context, path and interpretation. Research on Electrochemical Education, 2021, 42(11): 114-120. [2] Lv Jing, Mu Lixian, Yang Yuan, Shen Yan, Mi Jian, Yu Jianyun. Exploration on the analysis of teaching behaviour and improvement path of international students in colleges and universities under the background of digital empowerment education. Computer Knowledge and Technology, 2023, 19(02): 132-134. [3] Chen Qiao ling. Information Enabled Precision Teaching--Exploration of Digital-based Precision Teaching of Primary Mathematics under the Background of "Double Reduction". New Teacher, 2023, (08): 44-45. [4] Alimujiang Yiminiyaz. Research on the path of big data empowering the precision of ideological and political education in colleges and universities. Teacher, 2023, (22): 15-17. [5] Cai Lu. Research on accurate ideological politics in colleges and universities empowered by digital. School and ideological education, 2022, (21): 67-70. [6] Li J, Chen Yan. Value analysis and implementation path of big data technology empowering accurate ideology and politics in colleges and universities. Strait Science, 2023, (06): 81-84. [7] Li Aerospace. Empowering disaster prevention and mitigation with accurate data. China Emergency Management News, 2023-12-14 (006). [8] Wu Shanshan, Ding Xiangsheng. Building a new path of "double-helix" precision education with the empowerment of "big ideology and politics". Science and education literature, 2023, (17): 31-34. [9] Bao Jingyi. Big data: empowering maths classroom teaching with "three accuracies". Research on Primary School Teaching, 2023, (26): 57-58. [10] Tang Xiaoyong, Li Ying. The effectiveness, dilemma and path optimisation of modern information technology empowering teachers' teaching of ideological and political theory courses in colleges and universities. Ideological Education Research, 2022, (11): 125-130.