A Normal University’s Disciplinary Instruction: A Close Look at Book Lending ()
ABSTRACT
To investigate rules that represent the reader group’s reading
preferences and support disciplinary instruction at a normal university, the
researcher collects library borrowing data from 10 departments from 2013 to 2022 at Nanjing Normal University (NNU) as the research samples and
divides the 10 departments into three groups based on the peak data load
of borrowing. The researcher creates a
number matrix to represent the recurrent number of books department readers borrowed in order to ascertain
the affinity of faculties, uses SPSS modeler and SPSS to develop an
apriori model for the study of the association rules of
borrowed books as well as multivariate linear equations for the impact
of significant departments on various sorts of book borrowing, applies the Kruskal-Wallis H test to see if there
are any differences in the borrowing of literary works among the four
departments in Group II, and uses Gephi to construct co-borrowing network
diagrams of the Top 10, Top 100, Top 300, and Top 500 books in a department in
order to visualize repeated borrowing in an intelligible way. This study sheds
light on university lecturers’ and students’
reading habits from the perspective of library borrowing statistics.
Share and Cite:
Liu, J. (2023) A Normal University’s Disciplinary Instruction: A Close Look at Book Lending.
Creative Education,
14, 1637-1668. doi:
10.4236/ce.2023.148106.
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