•  
  •  
 

Jurnal Pendidikan Vokasi

Document Type

Article

Abstract

The purpose of the study was to find the determinants of e-learning implementation by teachers of vocational school in the Yogyakarta Special Region. The research objective was achieved by describing the essential influence of social environment and facilitating conditions toward the technology acceptance model of e-learning. The study was a correlational research one with an ex-post facto approach. The number of research sample was 132 teachers and the research sample was determined by the Krejcie & Morgan formula. The research sample was distributed by means of proportional random sampling technique. The primary data source was the teachers' self report which had been collected by using a questionnaire. The observation and the open-ended interviews were conducted in order to support the primary data. The content validity was assessed by means of expert judgment and the construct validity was calculated by means of Pearson correlation. The reliability was determined by means of Cronbach's Alpha minimum value namely 0.70. The data analysis was performed by using path analysis at a significance level of 0.05. The study concluded that the effect of social environment and facilitating conditions to the e-learning usage had been mediated by three main variables of Technology Acceptance Model (TAM), namely perceived usefulness, perceived ease of use, and intention to use.

Keywords: E-learning, technology acceptance model, social environment, facilitating conditions.

DETERMINAN PENGGUNAAN E-LEARNING OLEH GURU SMK DI DAERAH ISTIMEWA YOGYAKARTA

Abstrak

Studi ini bertujuan untuk mengetahui faktor determinan penggunaan e-learning oleh guru SMK di Daerah Istimewa Yogyakarta. Tujuan ini dicapai dengan cara menjelaskan hakikat pengaruh lingkungan sosial sekolah dan kondisi fasilitas teknologi terhadap model penerimaan teknologi e-learning. Studi ini merupakan penelitian korelasional bersifat ex-post facto. Sampel penelitian sebanyak 132 guru ditentukan menggunakan formula Krejcie & Morgan didistribusikan dengan teknik proportional random sampling. Sumber data primer adalah laporan diri guru, dikumpulkan menggunakan kuesioner. Observasi dan wawancara terbuka dilakukan sebagai pendukung data primer. Validasi isi dilakukan dengan expert judgment dan validasi konstruk dilakukan dengan korelasi Pearson. Reliabilitas ditentukan dengan dengan nilai Cronbach's Alpha minimal 0,70. Analisis data dilakukan dengan analisis jalur pada taraf signifikansi 0,05. Hasil studi menunjukkan pengaruh lingkungan sosial dan kondisi yang memfasilitasi terhadap penggunaan e-learning dimediasi oleh tiga variabel utama model penerimaan teknologi, yaitu kegunaan, kemudahan penggunaan, dan intensi. Kata kunci: e-learning, model penerimaan teknologi, lingkungan sosial, kondisi yang memfasilitas

Page Range

1-13

Issue

1

Volume

7

Digital Object Identifier (DOI)

10.21831/jpv.v7i1.12770

Source

https://journal.uny.ac.id/index.php/jpv/article/view/12770

References

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50, 179-211.

Atif, A., Richards, D. & Bilgin, A. (2012, December). Predicting the Acceptance of Unit Guide Information Systems. Proceeding of 23rd Australasian Conference on Information Systems Predicting Acceptance of Unit Guide IS, 1-10.

Aydin, C.H., & Tasci, D. (2005). Measuring Readiness for e-learning: Reflections from an Emerging Country. Educational Technology & Society, 8, 4, 244-257.

Aypay, A., Çelik, H.C. & Aypay, A. et al. (2012). Technology acceptance in education: A study of pre-service teachers in turkey. The Turkish Online Journal of Educational Technology, 11, 4, 264-272.

Bhuasiri, W., Xaymoungkhoun, O., Zo, H., et al. (2012). Critical success factors for e- learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58, 843–855.

Chapnick, S. (2000). Are you ready for e- learning? Diambil 4 Januari 2008 dari http://www.learningcircuits.org/2000/nov 2000/chapnick.htm.

Chang, Y. & Yang, C. (2012): Why do we blog? From the perspectives of technology acceptance and media choice factors. Behaviour & Information Technology, iFirst article, 1-16.

Cheng, Y.C. (2005). New Paradigm for Re- engineering Education. Netherlands: Springer.

Davis, F.D., Bagozzi, R.P. & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 8, 982-1003.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 319-340.

Davis, F.D. (1993). User acceptance of information technology: system characteristics, user perceptions, and behavioral impacts. International Journal of Man-Machine Studies, 38, 475-487.

Davidson-Shivers, G.V. & Rasmussen, K.L. (2006). Web-Bassed Learning: Design, Implementation, and Evaluation. New Jersey: Pearson Prentice Hall.

DiMaggio, P.J. & Powell, W.W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 2, 147-160.

Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.

Jan, P., Lu, H. & Chou, T. (2012). The adoption of e-learning: An institutional theory perspective. The Turkish Online Journal of Educational Technology, 11, 3, 326-343. Diambil pada tanggal 18 September 2012, dari http://www.tojet.net/articles/

Kementerian Pendidikan Nasional. (2010). Rencana Strategis Kementerian Pendidikan Nasional 2010 2014.

Keramati, A., Afshari-Mofrad, M. & Kamrani, A. (2011). The role of readiness factors in e-learning outcomes: An empirical study. Computers & Education, 57, 1919-1929.

Kostik, B., Tokareva, N., Boutin, F., et al. (2009). ICT application in TVET. Dalam Maclean, R. & Wilson D.N. (Eds.), International Handbook of Education for the Changing World of Work (pp.1879- 1894). London: Springer Science Business Media

Ming, T. S., Hall, C., Azman, H., et.al. (2010). Supporting smart school teachers’ continuing professional development in and through ICT: A model for change. International Journal of Education and Development using Information and Communication Technology, 6, 2, 1-16.

Moore, G. C. & Benbasat, I. (1991). Development of an instrument to measure the perception of adoption an information technology innovation. Information Research, 2, 3, 192-222.

Nairne, J.S. (2009). Psychology (5th ed.). California: Thomson Wadworth.

Punnoose, A.C. (2012). Determinants of intention to use e-learning based on the technology acceptance model. Journal of Information Technology Education Research, 11, 301-337.

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.

Sahin, S. (2010), Development and Factor Analysis of an Instrument to Measure Preservice Teachers’ Perceptions of Learning Objects. Eurasia Journal of Mathematics, Science & Technology Education, 6(4), 253-261.

Smaldino, S.E., Lowther, D.L. & Russell, J.D. (2008). Instructional technology and media for learning. New Jersey: Pearson Prentice Hall.

Sun, H. & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Jurnal of Human-Computer Studies,64, 53–78

Tan, P.J.B., Potamites, P.R. & Wens-Chi, L. (2012). Applying the TAM to understand the factors affecting use of online banking in the Pescadores. ARPN Journal of Science and Technology, 2, 11, 1022-1028.

Teo, T. (2009). Modelling technology acceptance in education: A study of pre- service teachers. Computers & Education, 52, 302–312.

Venkatesh,V & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 2, 186-204.

Venkatesh, V., Morris, M. G., Davis, G. B., et al. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 3, 425-478.

Workman, M. (2014). New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience. Computers in Human Behavior, 31, 111–117

Share

COinS