Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan

Evaluation and Program Planning

Volumn 35, Issue 3, 2012, Pages 398-406

  Chen, Hong Ren ^a   Tseng, Hsiao Fen ^b  

^a NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

^b Jiji Junior High School   (Taiwan)

Author keywords

E learning; In service education; Technology Acceptance Model

Indexed keywords

LEARNING; MODELING; RESEARCH; SECONDARY EDUCATION; TEACHING; TECHNOLOGY ADOPTION; WORLD WIDE WEB;

ADULT; ARTICLE; ATTITUDE TO COMPUTERS; CONSUMER; EDUCATION; FEMALE; HUMAN; INTERNET; MALE; METHODOLOGY; MIDDLE AGED; MOTIVATION; PERCEPTION; QUESTIONNAIRE; SCHOOL; SELF CONCEPT; TAIWAN; TEACHING; UNIVERSITY;

ADULT; ATTITUDE TO COMPUTERS; COMPUTER-ASSISTED INSTRUCTION; CONSUMER SATISFACTION; EDUCATION, DISTANCE; FACULTY; FEMALE; HUMANS; INTERNET; MALE; MIDDLE AGED; MOTIVATION; PERCEPTION; QUESTIONNAIRES; SCHOOLS; SELF EFFICACY; TAIWAN;

TAIWAN;

EID: 84862814303     PISSN: 01497189     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.evalprogplan.2011.11.007     Document Type: Article

References (62)

1. Adams D.A., Nelson R.R., Todd P.A. Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly 1992, 16(2):227-247.
2. Anderson J.C., Gerbing D.W. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin 1988, 103(3):411-423.
3. Bagozzi R.P., Lee K.H., Van Loo M.F. Decisions to donate bone marrow: The role of attitudes and subjective norms across cultures. Psychology & Health 2001, 16(1):29-56.
4. Baumgartner H., Homburg C. Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing 1996, 13(2):139-161.
5. Bielawski L., Metcalf D. Blended e-learning: Integrating knowledge, performance, support, and online learning 2005, Mass HRD Press, Amherst.
6. Chen, Y.-C. (2003). End-user computing acceptance factors: A revised technology acceptance model. Master Thesis, National Sun Yat-sen University, Taiwan.
7. Chen, H.-I. (2004). A study of e-learning training system for Kaohsiung Rapid Transit Corporation. Master Thesis, National Sun Yat-sen University, Taiwan.
8. Chen H.-R., Huang H.-L. User acceptance of mobile knowledge management learning system: Design and analysis. Educational Technology & Society 2010, 13(3):70-77.
9. Chen H.-R., Huang H.-L. Learning achievement of knowledge management adaptively in web-based interactive learning systems for a junior high school in Taiwan. New Educational Review 2011, 25(3):207-217.
10. Chen, H.-R., Huang, & J.-W. Learning effects of RFID-based game-guided learning in libraries. International Journal of Mobile Communications, in press-a.
11. Chen, H.-R., & Huang, J.-G. Exploring learner attitudes toward web-based recommendation learning service system for interdisciplinary application. Journal of Educational Technology & Society, in press-b.
12. Chen N.S., Shi Y.J. E-learning impact on education reform and future development. Journal of Information and Education 2002, 92:32-42.
13. Davis F.D. A technology acceptance model of empirically testing new end-user information systems: Theory and results 1986, Massachusetts Institute of Technology.
14. Davis F.D., Bagozzi R.P., Warsaw P.R. User acceptance of computer technology: A comparison of two theoretical models. Management Science 1989, 35(8):983-1003.
15. Doll W., Xia W., Torkzadeh G. A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly 1994, 18(4):453-461.
16. Eastmond D.V. Reaching distance students through computer network technology. Distance Education Report 1997, 1:4-6.
17. Edwards R. The learning society: Challenges and trends 1996, Routledge, London.
18. Egan D. Revolution of learning: E-learning. Asia-Learning Weekly 2000, 66(3).
19. Fang, T.-H. (2004). Motive and achievement of elementary school & junior high school teachers who received on-job training through the Internet. Master Thesis, National Taipei University of Education, Taiwan.
20. Fornell D., Lacker D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981, 18(1):39-50.
21. Gefen D., Karahanna E., Straub D.W. Trust and TAM in online shopping: An integrated model. MIS Quarterly 2003, 27(1):51-90.
22. Guieford J.P. Fundamental statistics in psychology and education 1965, McGraw-Hill, New York.
23. Hair J.F., Black B., Babin B., Anderson R.E., Tatham R.L. Multivariate data analysis 2009, Prentice Hall, New Jersey.
24. Hamalainen M., Whinston A.B., Vishik S. Electronic markets for learning: Education brokerages on the Internet. Communications of the ACM 1996, 39(6):51-57.
25. Heijden H. Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information and Management Learning 2003, 40(6):541-549.
26. Hong, S.-J. (2008). The study of Internet user's intention of Internet learning and their Internet using behavior. Master Thesis, Asia University, Taiwan.
27. Howard B. The e-bang theory: Education industry overview 1999, Banc of America Securities.
28. Hsu, H.-C. (2007). Exploring the influence factors of mutual fund trading system on Internet bank with the TAM. Master Thesis, Ming-Chuag University, Taiwan.
29. Hsu C.L., Lu H.P. Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management Learning 2004, 41(7):853-868.
30. Hu, K.-P. (2008). A study of motivation, barriers and willingness for elementary school teachers attending in-service education. Master Thesis, Asia University, Taiwan.
31. Huang, H.-Y. (2006). A study on correlation between teachers' participation of web-based Learning community and teachers' professional development at the junior high schools of remote districts. Master Thesis, National Kaohsiung Normal University, Taiwan.
32. Huang Y.-M., Kuo Y.-H., Lin Y.-T., Cheng S.-C. Toward interactive mobile synchronous learning environment with context-awareness service. Computers & Education 2008, 51(3):1205-1226.
33. Hung, W.-J. (2007). The study of applying an e-learning system for music redemptive instruction in the elementary school. Master Thesis, National Changuha University of Education, Taiwan.
34. Hwang, W.-Y., Hsu, J.-L., Tretiakov, A., Chou, H.-W., & Lee, C.-Y. Intra-action, interaction and outeraction in e-learning environments. Educational Technology & Society, in press.
35. Igbaria M., Guimaraes T., Davis G.B. Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems 1995, 11(4):87-114.
36. Jonsson B.A. A case study of successful e-learning: A web-based distance course in medical physics held for school teachers of the upper secondary level. Medical Engineering & Physics 2005, 27:571-581.
37. Joo Y.J., Bong M., Choi H.J. Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in web-based instruction. Educational Technology Research and Development 2000, 48(2):5-17.
38. Kuo, C.-T. (2008). Relationships among e-learning culture, learner control, e-learner satisfaction, perceived network externalities and self-efficacy. Master Thesis, National Taipei University, Taiwan.
39. Lederer A.L., Maupin D.J., Sena M.P., Zhuang Y. The technology acceptance model and the World Wide Web. Decision Support Systems 2000, 29(3):269-282.
40. Lee J.-S., Cho H., Gay G., Davidson B., Ingraffea A. Technology acceptance and social networking in distance learning. Educational Technology and Society 2003, 6(2):50-61.
41. Lin J., Lu H.P. Towards an understanding of the behavioural intention to use a website. International Journal of Information Management 2000, 20(3):197-208.
42. Lo J.-L. A Study on Mobile Learning Device- Technology Acceptance Model (TAM) 2004.
43. MacCallum R.C., Roznowski M., Mar C.M., Reith J.V. Alternative strategies for cross-validation of covariance structure models. Multivariate Behavioral Research 1994, 29(1):1-32.
44. Oliver R., Herrington J. Exploring technology-mediated learning from a pedagogical perspective. Interactive Learning Environments 2003, 11(2):111-126.
45. Ong C.S., Lai J.Y., Wang Y.S. Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies. Information & Management 2004, 41(6):795-804.
46. Poltecher B. A study of the motivational orientations of teachers attending community-based in-service teacher education programs in Northeastern Thailand 1987, Southern Illinois University.
47. Powell A., Barbour M. An examination of government policies for e-learning in New Zealand's secondary schools. Journal of Open, Flexible and Distance Learning 2011, 15(1):75-89.
48. Rovai A., Ponton M., Wighting M., Baker J. A comparative analysis of student motivation in traditional classroom and e-learning courses. International Journal on E-learning 2007, 6(3):413-432.
49. Schaaf D. Just the FAQs: Using intranets for training. Training and Development 1999, 68(4):63-68.
50. Selim H.M. An empirical investigation of student acceptance of course websites. Computers & Education 2003, 40(4):343-360.
51. Shen, W. (2002). The investigation of computer self-efficacy and computer anxiety for the elementary teachers. Master Thesis, National Pingtung University of Education, Taiwan.
52. Sridhar S. E-government - A proactive participant for e-learning in higher education. Journal of American Academy of Business 2005, 7(1):258-268.
53. Szajna B. Empirical evaluation of the revised technology acceptance model. Management Science 1996, 42(1):85-92.
54. Tang, K.-M. (2008). The study of probing into aborigine adult e-learning with technology acceptance model-take "Aborigine Cyber Institute" for instance. Master Thesis, National ChiNan University, Taiwan.
55. Venkatesh V., Davis F.D. A model of the antecedents of perceived ease of use: Development and test. Decision Sciences 1996, 27(3):451-481.
56. Venkatesh V., Davis F.D. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 2000, 46:186-204.
57. Wang, C. J. (2006). The attitude of using e-learning for high school teachers. Master Thesis, National Taiwan Normal University, Taiwan.
58. Williams L.J., Hazer J.T. Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis using latent variable structural equation methods. Journal of Applied Psychology 1986, 71(2):219-231.
59. Wu M.L. Structural equation modeling - Amos operation and application 2007, Wu-Nan.
60. Yang, S.-F. (2002). The constructionalisation and comparison of use intention model in electronic learning market. Master Thesis, Southern Taiwan University, Taiwan.
61. Yang, H. C. (2007). Elementary school teachers' attitudes regarding on-line learning in Ping-tung County. Master Thesis, National Pingtung University of Education, Taiwan.
62. Yeh, F.-T. (2002). An examination of the use of professional virtual community in motivation, behavior, and satisfaction for elementary school teachers. Master Thesis, National Pingtung University of Education, Taiwan.