Extending the TAM Model to Explore the Factors that Affect Intention to Use an Online Learning Community

Autor/inn/en	Liu, I-Fan; Chen, Meng Chang; Sun, Yeali S.; Wible, David; Kuo, Chin-Hwa
Titel	Extending the TAM Model to Explore the Factors that Affect Intention to Use an Online Learning Community
Quelle	In: Computers & Education, 54 (2010) 2, S.600-610 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0360-1315
DOI	10.1016/j.compedu.2009.09.009
Schlagwörter	Electronic Learning; Internet; Models; Intention; Adoption (Ideas); High School Students; English (Second Language); Hypothesis Testing; Second Language Learning; Predictor Variables; Foreign Countries; Student Attitudes; Educational Technology; Computer Uses in Education; Computer Mediated Communication; Discussion Groups; Taiwan + Suchen Sie Ihr Suchwort? Analogiemodell; Ideas; Ideenfindung; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; English as second language; English; Second Language; Englisch als Zweitsprache; Hypothesenprüfung; Hypothesentest; Zweitsprachenerwerb; Prädiktor; Ausland; Schülerverhalten; Unterrichtsmedien; Computernutzung; Computerkonferenz
Abstract	An online learning community enables learners to access up-to-date information via the Internet anytime--anywhere because of the ubiquity of the World Wide Web (WWW). Students can also interact with one another during the learning process. Hence, researchers want to determine whether such interaction produces learning synergy in an online learning community. In this paper, we take the Technology Acceptance Model as a foundation and extend the external variables as well as the Perceived Variables as our model and propose a number of hypotheses. A total of 436 Taiwanese senior high school students participated in this research, and the online learning community focused on learning English. The research results show that all the hypotheses are supported, which indicates that the extended variables can effectively predict whether users will adopt an online learning community. Finally, we discuss the implications of our findings for the future development of online English learning communities. (Contains 3 figures and 4 tables.) (As Provided).
Anmerkungen	Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10