Understanding technology adoption: Theory and future directions for informal learning

Review of Educational Research

Volumn 79, Issue 2, 2009, Pages 625-649

  Straub, Evan T ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Social cognitive theory; Teacher education; Technology adoption

Indexed keywords

EID: 76149130791     PISSN: 00346543     EISSN: None     Source Type: Journal    
DOI: 10.3102/0034654308325896     Document Type: Article

References (64)

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, 227-247.
2. Adler, P.S., & Clark, K.B. (1991). Behind the learning curve: a sketch of the learning process. Management Science, 37, 267-281.
3. Agarwal, R., & Prasad, J. (1998a). The antecedents and consequences of user perceptions in information technology adoption. Decision Support Systems, 22, 15-29.
4. Agarwal, R., & Prasad, J. (1998b). A conceptional and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, 204-215.
5. Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30, 361-391.
6. Agarwal, R., Sambamurthy, V., & Stair, R. (2000). Research report: The evolving relationship between general and specific computer self-efficacy-An empirical assessment. Information Systems Research, 11, 418-430.
7. Ajzen, I. (1996). The social psychology of decision-making. In E. T. Higgins & A. W. Kruglanski (Eds.), Social psychology: Handbook of basic principals (pp. 211-238). New York: Guilford.
8. Ajzen, I., & Fishbein, M. (1980). A theory of reasoned action. Englewood Cliffs, NJ: Prentice-Hall.
9. Anderson, J.E., Schwager, P.H., & Kerns, R.L. (2007). The drivers for acceptance of tablet PCs by faculty in a college of business. Journal of Information Systems Education, 17, 429-440.
10. Anderson, S.E. (1997). Understanding teacher change: Revisiting the concerns based adoption model. Curriculum Inquiry, 27, 331-367.
11. Bailey, D.B., Jr., & Palsha, S.A. (1992). Qualities of the stages of concern questionnaire and implications for educational innovations. Journal of Educational Research, 85, 226-232.
12. Baker-Eveleth, L., Eveleth, D.M., O'Neill, M., & Stone, R.W. (2007). Enabling laptop exams using secure software: Applying the technology acceptance model. Journal of Information Systems Education, 18(1), 413-420.
13. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory Englewood Cliffs, NJ: Prentice Hall.
14. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman.
15. Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3, 265-299.
16. Barnes, R. (2005). Moving towards technology education: Factors that facilitated teachers' implementation of a technology curriculum. Journal of Technology Education, 17, 6-18.
17. Barron, A. E., Kemker, K., Harmes, C., & Kalaydijian, K. (2003). Large-scale research study on technology in K-12 school: Technology integration as it relates to national technology standards. Journal of Research on Technology in Education, 35, 489-508.
18. Bitan-Friedlander, N., Dreyfus, A., & Milgrom, Z. (2004). Types of teachers in training: The reactions of primary school science teachers when confronted with the task of implementing an innovation. Teaching and Teacher Education, 20, 607-619.
19. Boyne, G.A., Gould-Williams, J.S., Law, J., & Walker, R.M. (2005). Explaining the adoption of innovation: An empirical analysis of public management reform. Environment and Planning C: Government and Policy, 23, 419-435.
20. Cellular Telecommunications & Internet Association. (2005). Cellular Telecommunications & Internet Association semi-annual report. Washington, DC: Author.
21. Chelsey, N. (2005). Blurring boundaries? Linking technology use, spillover, individual distress and family satisfaction. Journal of Marriage and Family, 67, 1237-1248.
22. Cheng-Chang, S. P., Gunter, G., Sivo, S., & Cornell, R. (2004-2005). End-user acceptance of a learning management system in two hybrid large-sized introductory undergraduate course: A case study. Journal of Educational Technology Systems, 33, 355-365.
23. Cheung, D., & Yip, D.Y. (2004). How science teachers' concerns about school-based assessment of practical work vary with time: The Hong Kong experience. Research in Science & Technological Education, 22, 153-169.
24. Christensen, R., Griffen, D., & Knezek, G. (2001, March). Measures of teacher stages of technology integration and their correlates with student achievement. Paper presented at the annual meeting of the American Association of Colleges for Teacher Education, Dallas, TX.
25. Christou, C., Eliophotou-Menon, M., & Phillippou, G. (2004). Teachers' concerns regarding the adoption of a new mathematics curriculum: An application of CBAM. Educational Studies in Mathematics, 57, 157-176.
26. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computer technology: A longitudinal study. MIS Quarterly, 23, 145-158.
27. Cramer, S. F. (2006). Student information system implementations: A context for campus change, results of an AACRAO membership survey. College & University, 81, 21-33.
28. Cron, W.L., Slocum, J.W., Jr., VandeWalle, D., & Fu, Q.F. (2005). The role of goal orientation on negative emotions and goal setting when initial performance falls short of one's performance goal. Human Performance, 18(1), 55-80.
29. Cuban, L. (1983). How did teachers teach, 1890-1980? Theory Into Practice, 22(3), 159-166.
30. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
31. Davis, N.E., & Roblyer, M.D. (2005). Preparing teachers for the Schools That Technology Built: Evaluation of a program to train teachers for virtual schooling. Journal of Research on Technology in Education, 37, 399-409.
32. Deffuant, G., Huet, S., & Amblard, F. (2005). An individual-based model of innovation diffusion mixing social value and individual benefit. American Journal of Sociology, 110, 1041-1069.
33. de Vries, P., Midden, C., & Bouwhuis, D. (2003). The effects of errors on system trust, self-confidence, and the allocation of control in route planning. International Journal of Human-Computer Studies, 58, 719-735.
34. Dobbs, R.L. (2004). Impact of training on faculty and administrators in an interactive television environment. Quarterly Review of Distance Education, 5, 183-194.
35. Elias, J.E., Cafolla, R., & Schoon, P. (2000). The selection of an instructional management system. Journal of Technology & Teacher Education, 8, 123-131.
36. Encyclopedia of Greek Mythology. (n.d.). Sisyphus. Retrieved September 8, 2008, from http://www.mythweb.com/encyc/entries/sisyphus.html.
37. Evidence-Based Work Group. (2005). Theories of change and adoption of innovations: The evolving evidence-based intervention and practice movement in school psychology. Psychology in the School, 42(5), 475-494.
38. Flores, M.A., & Day, C. (2006). Contexts which shape and reshape new teachers' identities. Teaching and Teacher Education, 22, 219-232.
39. Fuller, F. (1969). Concerns of teachers: A developmental conceptualization. American Educational Research Journal, 6, 207-226.
40. Garland, K.J., & Noyes, J.M. (2003). Computer experience: A poor predictor of computer attitudes. Computers in Human Behavior, 20, 823-840.
41. Glazer, E.M., & Hannafin, M.J. (2006). The collaborative apprenticeship model: Situated professional development within school settings. Teaching and Teacher Education, 22, 179-193.
42. Hall, G.E. (1979). The concerns-based approach to facilitating change. Educational Horizons, 57, 202-208.
43. Hall, G.E., & Loucks, S. (1978). Teacher concerns as a basis for facilitating and personalizing staff development. Teachers College Record, 80, 36-53.
44. Hord, S.M., Rutherford, W.L., Huling-Austin, L., & Hall, G.E. (1987). Taking charge of change. Alexandria, VA: Association for Supervision and Curriculum Development.
45. Jaffee, D. (1998). Institutionalized resistance to asychronous learning networks. Journal of Asychronous Learning Networks, 2(2), 21-32.
46. Jones, T., & Clarke, V.A. (1995). Diversity as a deteriminant of attitudes: A possible explanation of the apparent advantage of single-sex settings. Journal of Computing Research, 12, 51-64.
47. Josephs, J. (2001). The Bronx School District's quest to harness the educational potential of digital technology. Education, 122, 257-262.
48. Lippert, S.K., & Forman, H. (2005). Utilization of information technology: Examining cognitive and experiential factors of post-adoption behavior. IEEE Transactions on Engineering Management, 52, 363-381.
49. Ma, W.W.-K., Andersson, R., & Streith, K.-O. (2005). Examining user acceptance of computer technology: An empirical study of student teachers. Journal of Computer Assisted Learning, 21, 387-395.
50. Massey, A.P., Montoya-Weiss, M.M., & Brown, S.A. (2001). Reaping the benefits of innovative IT: The long and winding road. IEEE Transactions on Engineering Management, 48, 348-357.
51. Meyer, J.W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83, 340-363.
52. Ndubisi, N.O. (2006). Factors of online learning adoption: A comparative juxtaposition of the theory of planned behaviour and the Technology Acceptance Model. International Journal on E-Learning, 5, 571-591.
53. Owston, R. (2007). Contextual factors that sustain innovative pedagogical practice using technology: An international study. Journal of Educational Change, 8(1), 61-77.
54. Pedron, N.A., & Evans, S.B. (1990). Modifying classroom teachers' acceptance of the consulting teacher model. Journal of Educational & Psychological Consultation, 1, 189-201.
55. Pennington, M.C. (2004). Cycles of innovation in the adoption of information technology: A view for language teaching. Computer Assisted Language Learning, 17, 7-33.
56. Rogers, E. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
57. Schotsberger, P.G., & Crawford, A.R. (1996, April). An analysis of the validity and reliability of the concerns based adoption model for teacher concerns in education reform. Paper presented at the annual meeting of the American Educational Research Association, New York.
58. Van Veen, K., & Sleegers, P. (2006). How does it feel? Teachers' emotions in a context of change. Journal of Curriculum Studies, 38, 85-111.
59. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11, 342-365.
60. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
61. Venkatraman, M.P. (1991). The impact of innovativeness and innovation type on adoption. Journal of Retailing, 67(1), 51-68.
62. Wenger, E. (1998). Communities of practice: Learning, meaning, identity. New York: Cambridge University Press.
63. Wolski, S., & Jackson, S. (1999, February-March). Technological diffusion within educational institutions: applying the technology acceptance model. Paper presented at SITE 99: The Society for Information Technology & Teacher Education International Conference, San Antonio, TX.
64. Wood, S.L., & Swait, J. (2002). Psychological indicators of innovation adoption: Cross-classification based on need for cognition and need for change. Journal of Consumer Psychology, 12, 1-13.