Restricted accessResearch articleFirst published online 2015-6
English e-learning in the virtual classroom and the factors that influence ESL (English as a Second Language): Taiwanese citizens’ acceptance and use of the Modular Object-Oriented Dynamic Learning Environment
Currently, the speed of knowledge innovation is accelerating with the prevalence of online learning, which penetrates the limits of both time and space. To date, studies examining English e-learning websites have rarely been conducted from the point of view of both the technology acceptance model (TAM) and information technology. In this research, we use the TAM as our basic theory to research the use of English e-learning websites. We find that (1) most English learners think that using the Internet to learn English is more convenient than using traditional methods; and (2) that most adult English learners think that using the Internet to learn English is more helpful than using traditional methods.
AgarwalRPrasadJ (1997) The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences28(3): 557–582.
2.
ChenJ-L (2011) The effects of education compatibility and technological expectancy on e-learning acceptance. Computers & Education57: 1501–1511.
3.
ChenLDGillensonMLSherrellDL (2002) Enticing online consumers: An extended technology acceptance perspective. Information & Management39(8): 705–719.
4.
ChengTCELamDYCYeungACL (2006) Adoption of internet banking: An empirical study 921 in Hong Kong. Decision Support Systems42(3): 1558–1572.
5.
ChinWW (1998) Issues and opinion on structural equation modeling. MIS Quarterly22(1): 7–16.
6.
ChiuCMWangETG (2008) Understanding web-based learning continuance intention: The role of subjective task value. Information & Management45: 194–201.
7.
DavisFD (1986) A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and results. Doctoral dissertation, MIT Sloan School of Management, Cambridge, MA.
8.
DavisFD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13(3): 319–352.
9.
DavisFDBagozziRPWarshawPR (1989) User acceptance of computer technology: Comparison of two theoretical models. Management Science35(8): 982–1003.
10.
FishbeinMAjzenI (1975) Belief, Attitude, Intention, and Behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
11.
FornellCLarckerDF (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research48: 39–50.
HuangSY (2005) Taiwanese students talk about English in Taiwan and their lives. Languages, Communities, and Education: 45–54.
14.
JoinerEG (1981) The Older Foreign Language Learner: A challenge for colleges and universities. Washington, DC: ERIC Clearinghouse on Languages and Linguistics; available from Englewood Cliffs, NJ: Prentice-Hall. (Language in Education Series no. 34)
15.
KingWRHeJ (2006) A meta-analysis of the technology acceptance model. Information & Management43(6): 740–755.
16.
KrashenSDLongMAScarcellaRC (1979) Age, rate and eventual attainment in second language acquisition. TESOL Quarterly13: 573–582.
17.
LaiVSLiH (2005) Technology acceptance model for internet banking: An invariance analysis. Information & Management42(2): 373–386.
18.
LakhalSKhechineHPascotD (2013) Student behavioural intentions to use desktop video conferencing in a distance course: Integration of autonomy to the UTAUT model. Journal of Computing in Higher Education25(2): 93–121.
19.
LeeYC (2006) An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review30(5): 517–541.
20.
LiaoHLLuHP (2008) The role of experience and innovation characteristics in the adoption and continued use of e-learning websites. Computers & Education51(4): 1405–1416.
21.
LiuJing (2013) e-Learning in English Classrooms: Investigating factors impacting on ESL (English as Second Language) college students’ acceptance and use of the Modular Object-Oriented Dynamic Learning Environment (Moodle). Graduate Theses and Dissertations. (Paper 13256). Available at: http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=4263&context=etd.
22.
MaldonadoUPTKhanGFMoonJJeungJ (2010) e-Learning motivation and educational portal acceptance in developing countries. Online Information Review35(1): 66–85.
23.
Oxford-CarpenterR (1985) A New Taxonomy of Second Language Learning Strategies. Washington, DC: ERIC Clearinghouse on Languages and Linguistics.
24.
Padilla-MeléndezAGarrido-MorenoAAguila-ObraARD (2008) Factors affecting e-collaboration technology use among management students. Computers & Education51(2): 609–623.
25.
PolančičGHeričkoMRozmanI (2010) An empirical examination of application frameworks success based on technology acceptance model. Journal of Systems and Software83(4): 574–584.
TanPJB (2013a) Applying the UTAUT to understand factors affecting the use of English e-learning websites in Taiwan. SAGE Open3(4): 2158244013503837.
28.
TanPJB (2013b) Students’ adoptions and attitudes towards electronic placement tests: A UTAUT analysis. American Journal of Computer Technology and Application14–24.
29.
TanPJBPotamitesPRLin Wens-Chi (2012) Applying the TAM to understand the factors affecting use of online banking in the Pescadores. ARPN Journal of Science and Technology11(2): 1022–1028.
30.
TaylorSToddPA (1995) Assessing IT usage: The role of prior experience. MIS Quarterly19(4): 561–570.
31.
ToralSLBarreroFMartínez-TorresMR (2007) Analysis of utility and use of a web-based tool for digital signal processing teaching by means of a technological acceptance model. Computers & Education49(4): 957–975.
32.
VenkateshVDavisFD (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science45(2): 186–204.
33.
VenkateshVMorrisMGDavisGBDavisFD (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly27(3): 425–478.
34.
WixomBHToddPA (2005) A theoretical integration of user satisfaction and technology acceptance. Information Systems Research16(1): 85–102.
35.
WongSTeoT (2011) Student teachers’ acceptance of computer technology. Technology Acceptance in Education: Research and issues43–61. DOI: 10.1007/978–94–6091–487–4_3.
36.
YooSJHanSHHuangWB (2012) The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea. Computers in Human Behavior28: 942–950.
37.
ZhangDZhaoJLZhouLNunamakerJF (2004) Can e-learning replace classroom learning?Communications of The ACM47(5): 75–79.
