A Study of the Reader Recommendation Service Based on Learning Commons for Satisfaction of ePortfolio Users

  • Yu-Qing HuangEmail author
  • Cheng-Hsu Huang
  • Jen-Hua Yang
  • Tien-Wen Sung
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)


This study implements co-interest recommending service embedded in ePortfolio for managing and sharing reader reading book experience from library records. We also propose five hypotheses based on proposed research model. Two hundred eleven Taiwanese graduate and undergraduate students participated in this research. The experimental results have shown that five hypotheses were supported.


ePortfolio Recommendation Virtual community 



This work is supported by National Science Council, Taiwan under grants NSC 101-2511-S-146 -001.


  1. 1.
    Barrett HC (2009) Online personal learning environments: Structuring electronic portfolios for lifelong and life wide learning. On Horiz 17(2):142–152CrossRefGoogle Scholar
  2. 2.
    Bliemel B, Hassanein K (2007) Consumer satisfaction with online health information retrieval: a model and empirical study. E-Serv J 5(2):53–81CrossRefGoogle Scholar
  3. 3.
    Gouardères G, Conté E (2006) E-Portfolio to promote the virtual learning group communities on the grid. Int J Inf Technol Web Eng 1(2):25–42CrossRefGoogle Scholar
  4. 4.
    Huang JJS, Yang SJH, Huang Y-M, Hsiao IYT (2010) Social learning networks: build mobile learning networks based on collaborative services. Educ Technol Soc 13(3):78–92Google Scholar
  5. 5.
    Kim P, Olaciregui C (2008) The effects of electronic portfolio-based learning space on science education. Br J Educ Technol 39(4):700–714CrossRefGoogle Scholar
  6. 6.
    Li MJ (2009) Construction of virtual learning community in learning commons of academic libraries. 2009 IEEE international symposium on IT in medicine and education (ITME 2009) vol 1, pp 565–569Google Scholar
  7. 7.
    McMahon M (1997) Social constructivism and the world wide web—a paradigm for learning. 1997 ASCILITE Conference, Curtin University, PerthGoogle Scholar
  8. 8.
    McKinney V, Kanghyun Y, Fatemeh Z (2002) The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Inf Syst Rev 13(3):296–315CrossRefGoogle Scholar
  9. 9.
    Seddon PB, Kiew MY (1996) A partial test and development of the DeLone and McLean’s model of IS success. Aust J Inf Syst 4(1):90–109Google Scholar
  10. 10.
    Tosh D, Penny Light T, Fleming K, Haywood J (2005) Engagement with electronic portfolios: challenges from the student perspective. Can J Learn Technol 31:89–110Google Scholar
  11. 11.
    Wixom BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Inf Syst Res 16(1):85–102CrossRefGoogle Scholar
  12. 12.
    Wu JH, Wang YM (2006) Measuring KMS success: a respecification of the DeLone and McLean’s model. Inf Manage 43(2):728–739CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Yu-Qing Huang
    • 1
    Email author
  • Cheng-Hsu Huang
    • 2
  • Jen-Hua Yang
    • 1
  • Tien-Wen Sung
    • 3
  1. 1.Department of Computer Science and Information EngineeringNational Central UniversityJhongliTaiwan, Republic of China
  2. 2.Department of Computer Science and Information EngineeringHwa Hsia Institute of TechnologyTaipeiTaiwan, Republic of China
  3. 3.Department of Network Multimedia DesignHsing Kuo UniversityTaipeiTaiwan, Republic of China

Personalised recommendations