Skip to main content

Advertisement

SpringerLink
Log in

Influence of Dentistry Students’ e-Learning Satisfaction: A Questionnaire Survey

  • Original Paper
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Dental school graduates operating on patients without having had sufficient practice in school is potentially dangerous to the patients. In order to minimize this danger, it is necessary to establish a virtual learning environment for students. In this study, we incorporated DentSim, a clinical dentistry simulator, into an e-Learning platform. In addition to overcoming the time and space constraints on learning, DentSim can simulate clinical conditions. It also allows students to practice reading case histories and inspecting and diagnosing patients. To construct the research model for this study, we incorporated the four major factors for measuring e-Learner satisfaction—‘learner interface’, ‘learning community’, ‘content’ and ‘personalization’ with the variable of ‘intention to use’. The subjects were 350 dental students studying at the College of Oral Medicine. The structural equation modeling (SEM) results showed that Factors that influenced ‘intention to use’ include ‘learner interface’, ‘learning community’ and ‘personalization’, and ‘intention to use’ affect ‘e-Learner satisfaction’ with the system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Kohn, L. T., Corrigan, J. M., and Donaldson, M. S. (Eds.), To err is human: Building a safer health system. National Academy Press, Washington, 2000.

    Google Scholar 

  2. Grottke, O., Ntouba, A., Ullrich, S., Liao, W., Fried, E., Prescher, A., Deserno, T. M., Kuhlen, T., and Rossaint, R., Virtual reality-based simulator for training in regional anaesthesia. Br. J. Anaesth. 103(4):594–600, 2009.

    Article  Google Scholar 

  3. Kahol, K., Vankipuram, M., and Smith, M. L., Cognitive simulators for medical education and training. J. Biomed. Inform. 42(4):593–604, 2009.

    Article  Google Scholar 

  4. Fraser, K., Peets, A., Walker, I., Tworek, J., Paget, M., Wright, B., and McLaughlin, K., The effect of simulator training on clinical skills acquisition, retention and transfer. Med. Educ. 43(8):784–789, 2009.

    Article  Google Scholar 

  5. DeLone, W. H., and McLean, E. R., The DeLone and McLean model of information systems success: A ten-year update. J. Manage Inf. Syst. 19(4):9–30, 2003.

    Google Scholar 

  6. Wang, Y. S., Assessment of learner satisfaction with asynchronous electronic learning systems. Inf. Manage. 41(1):75–86, 2003.

    Article  Google Scholar 

  7. Zhang, D., Zhao, J. L., Zhou, L., and Nunamaker, J. F., Can e-learning replace classroom learning? Commun. ACM 47(5):75–79, 2004.

    Article  Google Scholar 

  8. Chen, C., Chang, R., Hung, M., and Lin, M., Assessing the quality of a web-based learning system for nurses. J. Med. Syst. doi:10.1007/s10916-008-9193-1.

  9. Shachtman, N., E-Learning moves out of the office. <http://www.informationweek.com/809/elearning.htm>.

  10. Alavi, M., Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly 18(2):150–174, 1994.

    Article  Google Scholar 

  11. Alavi, M., Wheeler, B. C., and Valacich, J. S., Using IT to reengineer business education: An exploratory investigation of collaborative Tele-learning. MIS Quarterly 19(3):293–313, 1995.

    Article  Google Scholar 

  12. Fletcher, G. H., The future of E-learning. T. H. E. J. 32(2):4–5, 2004.

    MathSciNet  Google Scholar 

  13. Marki, R. H., Maki, W. S., Patterson, M., and Whittaker, P. D., Evaluation of a web-based introductory psychology course: I. Learning and satisfaction in on-line versus lecture courses. Behav. Res. Meth. Instrum. Comput. 32(2):230–239, 2000.

    Article  Google Scholar 

  14. Tarr, M., Distance learning—bringing out the best in training. Ind. Commer. Train. 30(3):104, 1998.

    Google Scholar 

  15. Thornbory, G., E-learning: The revolution. Occup. Health 55(2):23, 2003.

    Google Scholar 

  16. Nelson, E. A., E-learning: A practical solution for training and tracking in patient-care settings. Nursing Adm. Q. 27(1):29–32, 2003.

    Google Scholar 

  17. Young, K., Using e-learning to liberate the talents of nurses. Ind. Commer. Train. 35(4):137–141, 2003.

    Google Scholar 

  18. Parkinson, C. F., and Parkinson, S. B., A comparative study between interactive television and traditional lecture course offerings for nursing students. Nurs. Health Care 10(9):498–502, 1989.

    Google Scholar 

  19. Daly, J. M., McClelland, E., and Yang, J., The effect of teaching via telecommunications: A comparison of the academic performance of RN-BSN students in satellite centers and on campus. J. Nurs. Educ. 33(4):172–174, 1994.

    Google Scholar 

  20. Shomaker, D., and Fairbanks, J., Evaluation of an RN-to-BSN distance education program via satellite for nurses in rural health care. J. Nurs. Educ. 36(7):328–330, 1997.

    Google Scholar 

  21. Heetebry, I., Hatcher, M., and Tabriziani, H., Web based health education, e-learning, for weight management. J. Med. Syst. 29(6):611–617, 2005.

    Article  Google Scholar 

  22. Lau, F., and Bates, J., A review of e-learning practices for undergraduate medical education. J. Med. Syst. 28(1):71–87, 2004.

    Article  Google Scholar 

  23. Reis, J., McGinty, B., and Jones, S., An e-learning caregiving program for prostate cancer patients and family Members. J. Med. Syst. 27(1):1–12, 2003.

    Article  Google Scholar 

  24. Davis, F. D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3):319–339, 1989.

    Article  Google Scholar 

  25. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., User acceptance of computer technology: A comparison of two theoretical models. Manag. Sci. 35(8):982–1003, 1989.

    Article  Google Scholar 

  26. Hair, J., Anderson, R., Tatham, R., and Black, W., Multivariate data analysis. Prentice-Hall, Englewood Cliffs, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan

    Man-Ling Chen & Tien-Yu Shieh

  2. Department of Information Management, Chia Nan University of Pharmacy & Science, Tainan, 717, Taiwan

    Zhi-Yuan Su & Chi-Hui Chiang

  3. Department of Information Management, National Chung Cheng University, Chia-Yi, 621, Taiwan

    Teng-Yen Wu

  4. Department of Oral and Maxillofacial Surgery, Kaohsiung Medical University Hospital, Kaoshsiung, 807, Taiwan

    Tien-Yu Shieh

  5. Department of Information Management, National Yunlin University of Science & Technology, Yunlin, 640, Taiwan

    Chi-Hui Chiang

Authors
  1. Man-Ling Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhi-Yuan Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Teng-Yen Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tien-Yu Shieh
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chi-Hui Chiang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tien-Yu Shieh.

Questionnaire for dentistry students

Questionnaire for dentistry students

  1. Q1.

    The e-learning system is easy to use.

  2. Q2.

    The user interface of e-learning system gives me the senses of both comfort and usability.

  3. Q3.

    The user interface of the e-learning system is easy for users to know how it works.

  4. Q4.

    The operation of the e-learning system is stable.

  5. Q5.

    The e-learning system makes it easy for you to find the content you need.

  6. Q6.

    The e-learning system makes it easy for you to discuss questions with other students.

  7. Q7.

    The e-learning system makes it easy for you to access the shared content from the learning community.

  8. Q8.

    The e-learning system makes it easy for you to discuss questions with your teachers.

  9. Q9.

    The e-learning system makes it easy for you to share what you learn with the learning community.

  10. Q10.

    The e-learning system provides up-to-date content.

  11. Q11.

    The e-learning system provides content that exactly fits your needs.

  12. Q12.

    The e-learning system provides sufficient content.

  13. Q13.

    The content provided by the e-Learning system can help me to achieve the learning objectives.

  14. Q14.

    The e-learning system enables you to learn the content you need.

  15. Q15.

    The e-learning system enables you to choose what you want to learn.

  16. Q16.

    The e-learning system enables you to control your learning progress.

  17. Q17.

    The e-learning system records your learning progress and performance.

  18. Q18.

    Even though it is not required, I will continue to use e-Learning system for self-learning.

  19. Q19.

    I enjoy using the e-learning system to learn.

  20. Q20.

    I would recommend this e-learning system to other people.

  21. Q21.

    As a whole, you are satisfied with the e-learning system.

  22. Q22.

    As a whole, the e-learning system is successful.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, ML., Su, ZY., Wu, TY. et al. Influence of Dentistry Students’ e-Learning Satisfaction: A Questionnaire Survey. J Med Syst 35, 1595–1603 (2011). https://doi.org/10.1007/s10916-010-9435-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-010-9435-x

Keywords

Search

Navigation