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Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences Cover

Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences

Organizacija
Volume 47 (2014): Issue 2 (May 2014)
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Open Access
|May 2014
References

References

  1. Al-Adwan, Am., Al-Adwan, Ah., & Smedley, J. (2013). Exploring students acceptance of e-learning using Technology Acceptance, Model in Jordanian universities. International Journal of Education and Development using Information and Communication Technology, (IJEDICT), 9(2), 4-18. Retrieved December 5, 2013 from http://ijedict.dec.uwi.edu/viewissue.php?id=35
    Search in Google Scholar
  2. Baloğlu, M. (2003). Individual differences in statistics anxiety among college students. Personality and Individual Differences, 34(5), 855-865, http://dx.doi.org/10.1016/S0191-8869(02)00076-4
    Open DOISearch in Google Scholar
  3. Bisoux, T. (2002). The e-learning equation. BizEd, 40-45.
    Search in Google Scholar
  4. Chuttur M.Y. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Working Papers on Information Systems, 9(37), 9-37. Retrieved October 12, 2013 from http://sprouts.aisnet.org/785/1/TAMReview.pdf
    Search in Google Scholar
  5. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Ph.D. Thesis, Massachusetts Institute of Technology, Sloan School of Management.
    Search in Google Scholar
  6. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340, http://dx.doi.org/10.2307/249008
    Open DOISearch in Google Scholar
  7. DeWayne, T. A. (2010). Anxiety and Attitude of Graduate Students in On-Campus vs. Online Statistics Courses. Journal of Statistics Education, 18(1), 1-15. Retrieved October 12, 2013 from http://www.amstat.org/publications/jse/v18n1/derryberry.pdf
    Search in Google Scholar
  8. Escobar-Rodriguez, T., & Monge-Lozano, P. (2012). The acceptance of Moodle technology by business administration students. Computers & Education, 58, 1085-1093, http://dx.doi.org/10.1016/j.compedu.2011.11.012
    Open DOISearch in Google Scholar
  9. Field, A. (2013). Discovering statistics using IBM SPSS statistics.London: SAGE.
    Search in Google Scholar
  10. Hsu M. K., Wang S. W., & Chiu K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Computers in Human Behavior, 25, 412-420, http://dx.doi.org/10.1016/j.chb.2008.10.003
    Open DOISearch in Google Scholar
  11. IBM (2010). Making statistics relevant and easy to learn. Retrieved October 13, 2013, from http://www.presidion.com/industry_solutions/academia/materials/case_studies/YTC03045USEN.pdf
    Search in Google Scholar
  12. Kljajić, M. et al. (2012). System approach to MIS and DSS and its modeling within SD, In M. Mora, O. Gelman, A. Steenkamp, & M. Raisinghani (Eds.) Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems (340-359). Hershey, Information Science Reference, http://dx.doi.org/10.4018/978-1-4666-0179-6.ch017
    Open DOISearch in Google Scholar
  13. Lee, D.Y., & Lehto, M.R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193-208, http://dx.doi.org/10.1016/j.compedu.2012.10.001
    Open DOISearch in Google Scholar
  14. Legris, P., Inghamb, J., & Collerettec, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191-204, http://dx.doi.org/10.1016/S0378-7206(01)00143-4
    Open DOISearch in Google Scholar
  15. Liu, I-F. et al. (2010). Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers & Education, 54 (2), 600-610, http://dx.doi.org/10.1016/j.compedu.2009.09.009
    Open DOISearch in Google Scholar
  16. Onwuegbuzie, A. J. (2004). Academic procrastination and statistics anxiety. Assessment & Evaluation in Higher Education, 29(1), 3-19, http://dx.doi.org/10.1080/0260293042000160384
    Open DOISearch in Google Scholar
  17. Onwuegbuzie, A.J., & Wilson, V.A. (2003). Statistics anxiety: Nature, etiology, antecedents, effects, and treatments - A comprehensive review of the literature. Teaching in Higher Education, 8 (2), 195-209, http://dx.doi.org/10.1080/1356251032000052447
    Open DOISearch in Google Scholar
  18. Padilla-Meléndez, A., Del Aguila-Obra, A.R., & Garrido-Moreno, A. (2013). Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario. Computers & Education, 63, 306-317, http://dx.doi.org/10.1016/j.compedu.2012.12.014
    Open DOISearch in Google Scholar
  19. Pan, W., & Tang, M. (2004). Examining the Effectiveness of Innovative Instructional Methods on Reducing Statistics Anxiety for Graduate Students in the Social Sciences. Journal of Instructional Psychology, 31(2), 149-159.
    Search in Google Scholar
  20. Ravid, R., & Leon, M. R. (1995). Students’ perceptions of the research component in master’s level teacher education programs. Paper presented at the Annual Meeting of the American Educational Research Association. San Francisco, CA, April 18-22, 1995. (ERIC Document Reproduction Service No. ED393840).
    Search in Google Scholar
  21. Shah, S. A. M. et al. (2013). Employee Behavior Towards Adoption of E-learning Courses: Validating Technology Acceptance Model. Mediterranean Journal of Social Sciences, 4(14), 765-773, http://dx.doi.org/10.5901/mjss.2013.v4n14p765
    Open DOISearch in Google Scholar
  22. Sharma, S. K., & Chandel, J. K. (2013). Technology Acceptance Model for the Use of Learning Through Websites Among Students in Oman. The International Arab Journal of Information Technology, 3(1), 44-49.
    Search in Google Scholar
  23. Shroff, R. H., Deneen, C. C., & Ng, E. M. W. (2011). Analysis of the technology acceptance model in examining students‘ behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4), 600-618. Retrieved December 12, 2013 from http://www.ascilite.org.au/ajet/ajet27/shroff.html
    Open DOISearch in Google Scholar
  24. Stickels, J.W., & Dobbs, R.R. (2007). Helping Alleviate Statistical Anxiety with Computer Aided Statistical Classes. The Journal of Scholarship of Teaching and Learning, 7(1), 1-15, Retrieved October 12, 2013 from http://josotl.indiana.edu/article/view/1676/1674
    Search in Google Scholar
  25. Tabak, F., & Nguyen, N. T. (2013). Technology Acceptance and Performance in Online Learning Environments: Impact of Self-Regulation. MERLOT Journal of Online Learning and Teaching, 9(1), 1-11. Retrieved December 2, 2013 from http://jolt.merlot.org/vol9no1/tabak_0313.pdf
    Search in Google Scholar
  26. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52, 302-312, http://dx.doi.org/10.1016/j.compedu.2008.08.006
    Open DOISearch in Google Scholar
  27. Teo, T. (2010). An empirical study to validate the Technology Acceptance Model (TAM) in explaining the intention to use technology among educational users. International Journal of Information and Communication Technology Education, 6(4), 1-12, http://dx.doi.org/10.4018/jicte.2010100101
    Open DOISearch in Google Scholar
  28. Teo, T. (2011a). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, (57), 2432-2440, http://dx.doi.org/10.1016/j.compedu2011.06.008
    Search in Google Scholar
  29. Teo, T. (2011b). Technology Acceptance in Education, Research and Issues. Rotterdam: Sense Publishers.
    Open DOISearch in Google Scholar
  30. Tuan H. L., Chin C. C., & Shieh S. H. (2005). The development of a questionnaire to measure students‘ motivation towards science learning. International Journal of Science Education, 27(6), 639-654, http://dx.doi.org/10.1080/0950069042000323737
    Open DOISearch in Google Scholar
  31. Yousafzai, S.Y, et al. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251 - 280, http://dx.doi.org/10.1108/17465660710834453
    Open DOISearch in Google Scholar
  32. Wang, W. T., & Liu, C. Y. (2005). The Application of the Technology Acceptance Model: A New Way to Evaluate Information System Success. In J. D. Sterman (ed.), N. P. Repenning (ed.), R. S. Langer (ed.), J. I. Rowe (ed.), & J. M.Yanni (ed.) Proceedings of the 23th International Conference of the System Dynamics Society. Albany: System Dynamics Society.
    Search in Google Scholar
  33. Zeidner, M. (1991). Statistics and mathematics anxiety in social science students: Some interesting parallels. British Journal of Educational Psychology, 61(3), 319-328, http://dx.doi.org/10.1111/j.2044-8279.1991.tb00989.x
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/orga-2014-0009 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
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Language: English
Page range: 116 - 127
Submitted on: Oct 6, 2013
Accepted on: Jan 25, 2014
Published on: May 17, 2014
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Keywords:
university education,
statistics,
statistics anxiety,
SPSS,
acceptance,
TAM model
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance

© 2014 Alenka Brezavšček, Petra Šparl, Anja Žnidaršič, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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