Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach

British Journal of Educational Technology

Volumn 43, Issue 1, 2012, Pages 71-84

  Edmunds, Rob ^a   Thorpe, Mary ^b,c   Conole, Gráinne ^c  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b Department of Educational Technology ^*  (United Kingdom)

^c OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EASE OF USE; HIGHER EDUCATION; INFORMATION AND COMMUNICATION TECHNOLOGIES; KEY DIMENSIONS; SOCIAL ACTIVITIES; STUDENT ATTITUDES; TECHNOLOGY ACCEPTANCE; TECHNOLOGY ACCEPTANCE MODEL; TECHNOLOGY USE;

EDUCATION COMPUTING; STUDENTS;

INFORMATION TECHNOLOGY;

EID: 84255194113     PISSN: 00071013     EISSN: 14678535     Source Type: Journal    
DOI: 10.1111/j.1467-8535.2010.01142.x     Document Type: Article

References (26)

1. Ajzen, I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2, 179-211.
2. Bruner, G. C., &, Kumar, A., (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58, 553-558. (Pubitemid 40083477)
3. Caruso, J. B., &, Kvavik, R., (Eds) (2005). ECAR study of students and information technology, 2005: convenience, connection, control and learning. EDUCAUSE. Retrieved October 19, 2010, from
4. Centre for Higher Education Research and Information and London South Bank University (2005). Survey of higher education students' attitudes to debt and term-time working and their impact on attainment. A report to Universities UK and HEFCE, Universities UK.
5. Conole, G., De Laat, M., Dillon, T., &, Darby, J., (2008). 'Disruptive technologies', 'pedagogical innovation': What's new? Findings from an in-depth study of students' use and perception of technology. Computers and Education, 50, 2, 511-524.
6. Cronbach, L. J., (1951). Coefficient alpha and the internal structure of tests. Multivariate Behavioral Research, 16, 297-334.
7. Davis, F. D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 319-339.
8. Dearing, R., (1997). The national committee of inquiry into higher education: summary report. Norwich: HMSO.
9. Deci, E. L., &, Ryan, R. M., (Eds) (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum Press.
10. Fenech, T., (1998). Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web, Computer Networks and ISDN Systems. 30, 1-7, 629-630.
11. Ford, J. K., MacCallum, R., &, Tait, M., (1986). The application of exploratory factor analysis in applied psychology: a critical review and analysis. Personnel Psychology, 39, 291-314.
12. Jamieson, A., Sabates, R., Woodley, A., &, Feinstein, L., (2009). The benefits of higher education study for part-time students. Studies in Higher Education, 34, 3, 245-262.
13. JISC Learner Experiences of eLearning Programme Phase 2. (2006-2009). Retrieved October 19, 2010, from
14. Jones, A., &, Issroff, K., (2007). Motivation and mobile devices: exploring the role of appropriation and coping strategies. ALT-J: Research in Learning Technology, 15, 3, 247-258.
15. Kennedy, G. E., Judd, T. S., Churchward, A., Gray, K., &, Krause, K., (2008). First year students' experiences with technology: Are they really digital natives? Australasian Journal of Educational Technology, 24, 1, 108-122. Retrieved October 19, 2010, from
16. Lee, Y. C., (2008). The role of perceived resources in online learning adoption. Computers & Education, 50, 1423-1438.
17. O'Connor, B. P., (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behaviour Research Methods, Instruments, and Computers, 32, 396-402.
18. Padilla-Mele'ndez, A., Garrido-Moreno, A., &, Del Aguila-Obra, A. R., (2008). Factors affecting e-collaboration technology use among management students. Computers & Education, 51, 609-623. (Pubitemid 351697620)
19. Roca, J. C., &, Gagne, M., (2008). Understanding e-learning continuance intention in the workplace: a self-determination theory perspective. Computers in Human Behavior, 24, 1585-1604. (Pubitemid 351559616)
20. Rogers, E., (1995). Diffusion of innovations. New York: Free Press.
21. Selwyn, N., (2007). The use of computer technology in university teaching and learning: a critical perspective. Journal of Computer Assisted Learning, 23, 83-94.
22. Vallerand, R. J., (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In, M. Zanna, (Ed.), Advances in experimental social psychology (29) (pp. 271-360). New York: Academic Press.
23. Venkatesh, V., &, Davis, F. D., (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, 2, 186-204. (Pubitemid 30594361)
24. Venkatesh, V., Davis, F. D., &, Morris, M. G., (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8, 4, Article 9, 267-286.
25. Venkatesh, V., Morris, M. G., Davis, G. B., &, Davis, F. B., (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 3, 425-478.
26. Yi, M. Y., Jackson, J. D., Park, J. S., &, Probst, J. C., (2006). Understanding information technology acceptance by individual professionals: toward an integrative view. Information & Management, 43, 350-363. (Pubitemid 43333006)