Digital reading behavior of LIS graduate students: A case study at national Taiwan normal university

Chia Hsiang Chen, Hao-Ren Ke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study explores the digital reading behavior of graduate students from a Library and Information Science (LIS) Program. By making a connection between their habits and various forms of capital that may shape their reading behavior, this study adopts a qualitative approach, examining the four key concepts of Bourdieu’s practice theory: habitus, economic capital, cultural capital, and social capital. Semi-structured interviews were conducted with fifteen students at National Taiwan Normal University. The result of this study indicates that the four key concepts of Bourdieu theory do influence the LIS graduate students’ digital reading behavior, and may provide librarians, faculty, and students’ thesis supervisors with suggestions for improving adaptive learning in the information society.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationProviding Quality Information - 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Proceedings
EditorsRobert B. Allen, Jane Hunter, Marcia L. Zeng
PublisherSpringer Verlag
Pages296-297
Number of pages2
ISBN (Print)9783319279732
Publication statusPublished - 2015 Jan 1
Event17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015 - Seoul, Korea, Republic of
Duration: 2015 Dec 92015 Dec 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9469
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015
CountryKorea, Republic of
CitySeoul
Period15/12/915/12/12

Keywords

  • Bourdieu
  • Digital reading
  • Taiwan
  • User studies

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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