A Study of Student Perspectives on Web-Based Learning Technology in Merchandising Courses

머천다이징 교과과정에서 인터넷을 기반으로한 학습테크롤로지에 대한 대학생들의 시각에 관한 연구

  • Lee, Kyu-Hye (Dept. of Clothing & Textiles, Hanyang University) ;
  • Stoel, Leslie (Dept. of Consumer Sciences, The Ohio State University)
  • Published : 2006.12.31

Abstract

Assessment of the implementation of a web-based courseware technology application across a merchandising program over a two-year period provides empirical evidence that students believe the technology was easy to use and useful. Results also show that the use of the application was not a hard-ship for the students in terms of time or access, that students in lower class ranks who had not had technology enhanced courses previously were more satisfied with the technology than upper class students, and that perceptions of the technology and satisfaction with it increase with experience using the technology.

본 연구에서는 머천다이징 프로그램에서 인터넷을 기반으로한 학습시스템(e학습시스템)인 WebCT를 의류학과내의 머천다이징 교과과정에서 운영하였을때 학생들이 경험한 여러가지 시각에 대하여 알아보았다. 연구는 온라인 병행강의 혹은 온라인 강의가 시도된 바 없는 한 미국대학에서 WebCT를 처음 도입한 후 2년의 기간 동안 학생들이 시스템에 대하여 느끼는 편의성과 유용성 그리고 선호도와 만족도가 어떻게 바뀌어나가는지 통시적으로 알아보았으며 이러한 경향이 수강학생들의 학점에 미치는 영향을 알아 보았다 2년 동안 매학기 평균 1.5개 정도의 WebCT운영강의에 노출된 학생들이 매 학기말마다 WebCT의 편의성, 유용성 그리고 선호도와 만족도를 묻는 설문에 응하였으며 각 학생들의 최종성적이 함께 데이터화 되어 분석되었다. 분석결과 인터넷이나 컴퓨터사용여부는 더이상 e학습시스템의 걸림돌이 되지 않는 것으로 나타났으며 학생들은 시스템을 무시하거나 과도하게 사용하지 않고 전반적으로 매우 효율적으로 사용하고 있었다. 학생들은 4년간의 대학생활 중 일찍 WebCT에 노출될수록, 한꺼번에 여러과목의 WebCT과목을 들을수록, WebCT수업을 경험할수록 그리고 여학생일수록 WebCT가 유용하다고 지각하고 있었으며 선호도와 만족도가 높은 것으로 나탔다. 한편 WebCT에 대한 선호도와 만족도는 한학기 동안 수강 후 학생들의 성적에 유의한 영향을 주는 것으로 분석되었다.

Keywords

References

  1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247 https://doi.org/10.2307/249577
  2. Agarwal, R. & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2),361-391 https://doi.org/10.1111/j.1540-5915.1999.tb01614.x
  3. Benbunan-Fich, R., Lozada, H. R., Pirog, S., Priluck, R., & Wisenbilt, J. (2001). Integrating information technology into the marketing curriculum: A pragmatic paradigm. Journal of Marketing Education, 23(1), 5-15 https://doi.org/10.1177/0273475301231002
  4. Clark, J. (2002). A product review of WebCT. The Internet and Higher Education, 5, 79-82 https://doi.org/10.1016/S1096-7516(02)00062-3
  5. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-339 https://doi.org/10.2307/249008
  6. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of ManMachine Studies, 38, 475-487 https://doi.org/10.1006/imms.1993.1022
  7. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003 https://doi.org/10.1287/mnsc.35.8.982
  8. Getty, N. K., Burd, B., Bums, S. K., & Piele, L. (2000). Using courseware to deliver library instruction via the Web: Four examples. Reference Services Review, 28(4), 349-359 https://doi.org/10.1108/00907320010359678
  9. Hayes, R. (2000). Exploring discount usability methods to assess the suitability of online course delivery products. The Internet and Higher Education, 2(2-3), 119-134 https://doi.org/10.1016/S1096-7516(99)00012-3
  10. Henly, D. C. & Reid, A. E. (2001). Use of the web to provide learning support for a large metabolism and nutrition class. Biochemistry and Molecular Biology Education, 29, 229-233
  11. Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114 https://doi.org/10.1080/07421222.1995.11518061
  12. Karuppan, C. M. & Karuppan, M. (1999). Empirically based guidelines for developing teaching materials on the web. Business Communication Quarterly, 62(3), 37-45 https://doi.org/10.1177/108056999906200304
  13. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191 https://doi.org/10.1287/isre.2.3.173
  14. Morss, D. A. (1999). A study of student perspectives on Web-based learning: WebCT in the classroom. Internet Research: Electronic Networking Applications and Policy, 9(5), 393-408 https://doi.org/10.1108/10662249910297796
  15. Oliver, R. L. & Swan, J. E. (1989). Equity and disconfirmation perceptions as influences on merchant and product satisfaction. Journal of Consumer Research, 16, 372-383 https://doi.org/10.1086/209223
  16. Subramanian, G. H. (1994). A replication of perceived usefulness and perceived ease of use measurement. Decision Sciences, 25(5/6), 863-873 https://doi.org/10.1111/j.1540-5915.1994.tb01873.x
  17. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92 https://doi.org/10.1287/mnsc.42.1.85