|Table of Contents|

Statistics and Prediction of Reader Education and Training in University Library(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年02期
Page:
112-117
Research Field:
·计算机科学与技术·
Publishing date:

Info

Title:
Statistics and Prediction of Reader Education and Training in University Library
Author(s):
Deng Sheng1Hou Qikun1Chen Minzhe1Yang Yuzhou2Zhao Xialin3
(1.Foreign Studies College of Hunan Normal University,Changsha 410081,China)(2.School of Economics,Xiamen University,Xiamen 631005,China)(3.School of Economics,Boston University,Boston 02215,USA)
Keywords:
university libraryeducational trainingreaderpredictionstatistical analysis
PACS:
C812
DOI:
10.3969/j.issn.1001-4616.2022.02.014
Abstract:
Based on the statistics of the training literature data of relevant university libraries in the recent 15 years by CNKI,this paper discusses the characteristics of the current situation of reader education and training in university libraries,predicts its development,and obtains the characteristics of reader education and training in university libraries. Furthermore,through the analysis of literature results and reader survey data,we can effectively predict the development trend of reader education and training in university libraries in the next few years.

References:

[1] MCGEHEE W,THANYER P. Training in business and industry[M]. New York:Wiley,1961.
[2]SPARROWE R T,LIDEN R C,WAYNE S J,et al. Social networks and the performance of individuals and groups[J]. Academy of management journal,2001,44(2):316-325.
[3]FREEMAN G T. The library as place:changes in learning patterns,collections,technology,and use in library as place:rethinking roles,rethinking space[C]∥Washington,D.C:Council on Library and Information Resources,2005.
[4]孙瑾. 国外Information Commons的发展现状及相关研究[J]. 图书馆杂志,2006(4):57-60.
[5]陈维. 数字图书馆特色资源共享与服务研究[M]. 杭州:浙江工商大学出版社,2015.
[6]DUNAWAY M. Web2.0 and critical information Literacy[J]. Public services quarterly,2011(3-4):149-157.
[7]MCCULLAGH P,NELDER J A. Generalized linear models[M]. 2nd ed. London:Chapman & Hall/CRC,1989.
[8]HOFFMANN J P. Generalized linear models:an applied approach[M]. Boston:Pearson,2004.
[9]NELDER J A,WEDDERBURN R W M. Generalized linear models[J]. Journal of the royal statistical society,1972,135:370-384.
[10]WEDDERBURN R W M. Quasi-likelihood functions,generalized linear models,and the gauss-newton method[J]. Biometrika,1974(61):439-447.
[11]MCCULLAGH P. Quasi-likelihood functions.[J]. The annals of statistics,1983(11):59-67.
[12]LONG J S,FREESE J. Regression models for categorical dependent variables using stata[M]. College Station,Texas:Stata Press,2006.
[13]CAMERON A C,TRIVEDI P K. Regression analysis of count data[M]. Cambridge:Cambridge University Press,2013.
[14]DENG S,YANG Y Z,ZHU Q X. Analysis and estimation of learning style in library[J]. Journal of hunan university of arts and science(science and technology),2017,29(4):18-22,44.
[15]STOCK J,WATSON M. Introduction to econometrics[M]. 3rd Edition. Boston:Addion-Wesley Press,2011.

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