Author(s)

Rongjie Zhu ¹, Xinyue Zhang ¹

Affiliation(s)

¹ Institute of Problem Solving, North China Electric Power University, Baoding, Hebei, China

Corresponding Author

Rongjie Zhu

ABSTRACT

Student dormitory is the main place for college students' activities, and the interaction between students in the dormitory plays an important role in the growth and development of college students. At present, most colleges and universities use the traditional dormitory allocation system, and some colleges and universities allocate dormitories according to the order of reports. These allocation methods are unscientific. Reasonable dormitory allocation for freshmen is of great significance to students' life and study. In this paper, the K-means clustering algorithm is used as the basic algorithm. During the experiment, the freshmen's living habits data provided by the school questionnaire are used for clustering, and the maximum impact factor determined by the SPSS online system analysis is used as the primary evaluation index. Combined with the obtained experimental data, it is shown that the application of this method has a better division effect, which can improve the rationality and scientificity of the dormitory allocation of freshmen.

KEYWORDS

Questionnaire survey, dormitory allocation for freshmen, K-means clustering algorithm, SPSS analysis

CITE THIS PAPER

Rongjie Zhu, Xinyue Zhang, Study on Student Dormitory Allocation. Adult and Higher Education (2023) Vol. 5: 26-31. DOI: http://dx.doi.org/10.23977/aduhe.2023.051005.

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