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A Study of the Wikipedia Knowledge Recommendation Service for Satisfaction of ePortfolio Users

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

Abstract

This study extended a conventional ePortfolio by proposed Wikipedia knowledge recommendation service (WKRS). Participants included 100 students taking courses at National Central University which were divided into experimental group and control group. The control group students and experimental group students have created their learning portfilios by using ePortfolio with WKRS and conventional ePortfolio without WKRS, respectively. The data for this study was collected over 3 months. The experimental results have shown that the learners’ satisfaction, system use, system quality and information/knowledge quality of experimental group students have significant progress than control group students.

Keywords

ePortfolio Wikipedia knowledge Satisfaction 

Notes

Acknowledgments

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

References

  1. 1.
    Barrett H (2000) Create your own electronic portfolio. Learn Lead Technol 27(7):14–21Google Scholar
  2. 2.
    Barker KC (2006) Environmental scan: overview of the ePortfolio in general and in the workplace specifically. Retrieved on 20 Oct 2006 from http://www.FuturEd.com
  3. 3.
    Jafari A (2004) The “sticky” ePortfolio system: tackling challenges and identifying attributes. J EDUCAUSE Rev 39(4):38–49Google Scholar
  4. 4.
    Gorbunovs A (2011) Prospective propulsions to embed artificial intelligence into the e-portfolio systems, In Al-Dahoud A et al (eds) Advances in information technology from artificial intelligence to virtual reality. UbiCC Publishers, pp 44–59Google Scholar
  5. 5.
    Liaw S–S (2005) Developing a web assisted knowledge construction system based on the approach of constructivist knowledge analysis of tasks. J Comput Human Behav 21(1):29–44CrossRefGoogle Scholar
  6. 6.
    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
  7. 7.
    Li W, Liu Y (2008) Personal knowledge management in e-learning era. Technol e-learning Digital Entertainment Lect Notes Comput Sci 5093:200–205CrossRefGoogle Scholar
  8. 8.
    Aleksandra K-M, Boban V, Mirjana I, Zoran B (2011) E-Learning personalization based on hybrid recommendation strategy and learning style identification. Comput Educ 56(3):885–899CrossRefGoogle Scholar
  9. 9.
    Chen CM, Hsu SH (2008) Personalized intelligent mobile learning system for supporting effective english learning. J Educ Technol Soc 11(3):153–180Google Scholar
  10. 10.
    Hsu C-K, Hwang G-J, Chang C-K (2010) Development of a reading material recommendation system based on a knowledge engineering approach. Comput Educ 55(1):76–83CrossRefGoogle Scholar
  11. 11.
    Freeze RD, Alshare KA, Lane PL, Wen HJ (2010) IS success model in e-learning context based on students’ perceptions. J Inf Syst Educ 21(2):173–184Google Scholar
  12. 12.
    Wang Y-S, Wang H-Y, Shee DY (2007) Measuring e-learning systems success in an organizational context: scale development and validation. Comput Hum Behav 23(1):1792–1808CrossRefGoogle Scholar
  13. 13.
    Wu J-H, Wang Y-M (2006) Measuring KMS success: a respecification of the DeLone and McLean’s model. J Inf Manage 43(6):728–739CrossRefGoogle Scholar
  14. 14.
    Seddon PB, Kiew MY (1994) A partial test and development of the DeLone and McLean model of IS success. In: International conference on information systems. Vancouver, Canada, pp 99–110Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Cheng-Hsu Huang
    • 1
    Email author
  • Yu-Qing Huang
    • 2
  • Jen-Hua Yang
    • 2
  • Wen-Yen Wang
    • 3
  1. 1.Department of Computer Science and Information EngineeringHwa Hsia Institute of TechnologyNew TaipeiTaiwan, Republic of China
  2. 2.Department of Computer Science & Information EngineeringNational Central UniversityJhongliTaiwan, Republic of China
  3. 3.Department of Information ScienceKun Shan UniversityTainanTaiwan, Republic of China

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