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Understanding of the Students’ Behavioral Intention to Use Online Discussion Site (ODS) Using Rasch Analysis

  • Azizah Jaafar
  • Prasanna RamakrisnanEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 529)

Abstract

In this paper, we analyzed students’ behavioral intention to use online discussion site (ODS) using existing measurement. As this online discussion site is widely used in education for student-student and student-lecturer interaction, we need to understand how this site is accepted by the students. This study proposes a statistical method for understanding student responses toward intention to use ODS. We analyze the intention to use ODS by using existing seven indicators: online course design, user interface design, previous learning experience, perceived usefulness, perceived ease of use perceived interaction and intention to use. All the 23 validated items from the seven indicators were combined into a single construct to measure intention to use by using Rasch analysis. The student’s intention to use online discussion available in Universiti Teknologi MARA (UiTM) e-learning portal was investigated. The responses received was investigated using Rasch analysis. The analysis displayed visually all the 23 item through person-item distribution map (PIDM) with WINSTEP 3.68.2 software. This reveals the likelihood of student intention to use ODS. Using the PIDM we can easily identify most and least agreed items in a measurement model. Thus this analysis can be applied in any study to identify the items that need further improvement based on user’s actual responses.

Keywords

Intention to use Online discussion site (ODS) Rasch analysis 

References

  1. 1.
    Liu, I.-F., Chen, M.C., Sun, Y.S., Wible, D., Kuo, C.-H.: Extending the TAM model to explore the factors that affect intention to use an online learning community. Comput. Educ. 54(2), 600–610 (2010)CrossRefGoogle Scholar
  2. 2.
    Ramakrisnan, P., Jaafar, A., Yatim, N.F.M., Mamat, M.N.: Validating instrument quality for measuring students’ acceptance of an online discussion site (ODS). In: 2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), pp. 475–478 (2013)Google Scholar
  3. 3.
    Harman, K., Koohang, A.: Discussion board: a learning object. Interdisc. J. Knowl. Learn. Objects 1, 67–77 (2005)Google Scholar
  4. 4.
    Bond, T., Fox, C.: Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Lawrence Erlbaum, Mahwah (2007)Google Scholar
  5. 5.
    Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed a silver bullet. J. Mark. Theory Pract. 19(2), 139–152 (2011)CrossRefGoogle Scholar
  6. 6.
    Chiu, C.-M., Wang, E.T.G., Shih, F.-J., Fan, Y.-W.: Understanding knowledge sharing in virtual communities: an integration of expectancy disconfirmation and justice theories. Online Inf. Rev. 35(1), 134–153 (2011)CrossRefGoogle Scholar
  7. 7.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)CrossRefGoogle Scholar
  8. 8.
    Davis, F.D.: A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology, Cambridge (1985)Google Scholar
  9. 9.
    Liu, S.-H., Liao, H.-L., Peng, C.-J.: Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior. E-learning 4(H6), H8 (2005)Google Scholar
  10. 10.
    Park, S.Y.: An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educ. Technol. Soc. 12(3), 150–162 (2009)Google Scholar
  11. 11.
    Roca, J.C., Chiu, C.-M., Martínez, F.J.: Understanding e-learning continuance intention: an extension of the technology acceptance model. Int. J. Hum. Comput. Stud. 64(8), 683–696 (2006)CrossRefGoogle Scholar
  12. 12.
    Masrom, M.: Technology acceptance model and e-learning. Technology 21, 24 (2007)Google Scholar
  13. 13.
    Ong, C.-S., Lai, J.-Y.: Gender differences in perceptions and relationships among dominants of e-learning acceptance. Comput. Hum. Behav. 22(5), 816–829 (2006)MathSciNetCrossRefGoogle Scholar
  14. 14.
    Saadé, R.G., Nebebe, F., Tan, W.: Viability of the ‘technology acceptance model’ in multimedia learning environments: a comparative study. Interdisc. J. Knowl. Learn. Objects 3(2), 175–184 (2007)Google Scholar
  15. 15.
    Van Raaij, E.M., Schepers, J.J.L.: The acceptance and use of a virtual learning environment in China. Comput. Educ. 50(3), 838–852 (2008)CrossRefGoogle Scholar
  16. 16.
    Ngai, E.W.T., Poon, J.K.L., Chan, Y.H.C.: Empirical examination of the adoption of WebCT using TAM. Comput. Educ. 48(2), 250–267 (2007)CrossRefGoogle Scholar
  17. 17.
    Pituch, K.A., Lee, Y.: The influence of system characteristics on e-learning use. Comput. Educ. 47(2), 222–244 (2006)CrossRefGoogle Scholar
  18. 18.
    Lee, B.-C., Yoon, J.-O., Lee, I.: Learners’ acceptance of e-learning in South Korea: theories and results. Comput. Educ. 53(4), 1320–1329 (2009)CrossRefGoogle Scholar
  19. 19.
    Sanchez-Franco, M.J.: WebCT–the quasimoderating effect of perceived affective quality on an extending technology acceptance model. Comput. Educ. 54(1), 37–46 (2010)CrossRefGoogle Scholar
  20. 20.
    Lee, Y.-C.: An empirical investigation into factors influencing the adoption of an e-learning system. Online Inf. Rev. 30(5), 517–541 (2006)CrossRefGoogle Scholar
  21. 21.
    Liaw, S.-S.: Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: a case study of the blackboard system. Comput. Educ. 51(2), 864–873 (2008)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Visual InformaticsNational University of Malaysia (UKM)BangiMalaysia
  2. 2.Faculty Computer and Mathematical Sciences (FSKM)University Technology MARA (Melaka)MerlimauMalaysia

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